White Papers

Companies may have approached ETL (extract, transform and load) with a set-it-and-forget-it mentality prior to Big Data, but as some organizations are discovering, that approach needs to change. Download this CITO Research white paper today


In this webinar, Michael Levy, CenturyLink, and Jabez Tan from Structure Research examine the future of the data center and share CenturyLink's predictions on how it will evolve over the next five years and beyond.


It’s clear that digital plays a significant role in shaping how customers engage with brands – but barriers exist that prevent organizations from delivering best-in-class digital experiences to their customers. A recent Forrester Consulting survey of CIOs and CMOs revealed that IT organizations focusing on infrastructure operations and “keeping the lights on” are a barrier to achieving business success, and organizations must collaborate with marketing in order to deliver IT agility. Learn how IT organizations can pivot from infrastructure maintenance to business innovation by downloading this Forrester survey report.


As we become more and more dependent on data to drive our decision-making, the issue of inaccurate, incomplete, or false data poses a major risk. By empowering businesses to inventory, organize, and control information more efficiently, data modeling solutions make governing big data dramatically simpler.


Most enterprises extract data from multiple, and at times conflicting, sources, leading individual business units to view and describe their data in different ways. But at every level throughout a company, informed decision-making depends on the use of properly governed data and information. That’s where data modeling comes in, since an enterprise data model can reconcile the differences in how data is described and presented, and pave the way for a robust data governance program. Are you in complete control of your data? Download this special eBook to learn the key steps to take and the benefits other companies have received by improving their data knowledge and governance.


In this eBook, best-selling author Brian Underdahl explores the fundamentals of data integration and how the latest tools can simplify today’s (and tomorrow’s) data landscape. “Data Integration for Dummies” provides valuable reference if you need to explain data integration to the business, are looking for an alternative to hand-coding data mappings, or simply interested in expanding your knowledge. In five easy-to-read chapters, you’ll discover: • How data and IT infrastructures have evolved • Data integration 101 • Understanding the key technical challenges • See specific examples of how visually oriented data integration tools improve efficiency • Top ten things to look for in a data integration tool


Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.


In order to derive business value from Big Data, practitioners must have the means to quickly (as in sub-milliseconds) analyze data, derive actionable insights from that analysis, and execute the recommended actions. While Hadoop is ideal for storing and processing large volumes of data affordably, it is less suited to this type of real-time operational analytics, or Inline Analytics. For these types of workloads, a different style of computing is required. The answer is in-memory databases


Download the CenturyLink executive brief "Optimizing for Innovation: How Hybrid IT Outsourcing Shifts IT Focus to Innovation” and explore how cost efficiencies can be achieved via the different elements of a Hybrid IT infrastructure outsource approach, allowing IT groups to apply more of the IT budget to innovation.


Dresner Advisory Services provides 18 vendor rankings based on user responses about data preparation, usability, scalability, and integration. Among the 18 qualifying vendors, Dell Statistica tied for second place with IBM and SAS. This comprehensive report provides detailed comparisons in an easy-to-read buyers' guide.


Find out how to evaluate new technologies that analyze big data, and discover which features are most useful. Plus, learn how to incorporate big data analytics to drive more effective strategies and decision-making. Read this white paper today.


The right predictive analytics solution can empower you to identify new customers, increase revenue and improve efficiency. View the Hurwitz report to understand why Dell’s Statistica’s enthusiastic customers gave it high marks for value compared to price. Read more to understand why Statistica users are extremely statisfied with the product.


This report examines three-year total cost of ownership differences between IBM DB2 10.5 and Microsoft SQL Server 2014 in representative installations for analytics workloads, showing distinct IBM advantages.


IBM and Oracle have implemented new technologies in their mainstream databases, but there are differences with regard to high-performance analytics and transaction processing. Read the ITG executive brief to see how IBM and Oracle solutions compare in cost and technology.


This white paper is written for SAP customers evaluating their infrastructure choices, discussing database technology evolution and options available. It is not easy to put forth a black-and-white choice as the SAP workloads straddle both real-time analytics and extreme transaction processing, and infrastructure choices can now be vast, given technology advancements around in-memory and faster processing speeds.


This report compares the three-year cost of downtime for mission-critical transaction processing systems for IBM DB2 10.5 and Microsoft SQL Server 2014 showing distinct IBM advantages.


As businesses accumulate increasing volumes of data from their day to day operations, and a wide variety of other sources, transforming that data into actionable information is essential. With today’s data management technologies and techniques no data is beyond integration. IBM DB2 10.5 with BLU acceleration (DB2 BLU Acceleration) takes In-Memory data management and analytics to the next level by optimizing these three key system components: CPU, Memory, and I/O. This holistic approach to optimization is a critical and necessary next step in the evolution of always on, always available, real time data management, analytics, reporting, and OLTP solutions.


Analyst Mike Ferguson of Intelligent Business Strategies writes about the enhanced role of transactional DBMS systems in today's world of Big Data. Learn more about how Big Data provides richer transactional data and how that data is captured and analyzed to meet tomorrow’s business needs. Access the report now.


You need a database designed to control both the infrastructure and personnel costs that form the IT budget. The next generation of IBM DB2 helps organizations get more value from their big data to improve their IT economics. Major innovations provide out-of-the-box performance gains that go beyond the limitations of in-memory-only systems to support decision making at the speed of business.


This white paper is written for SAP customers evaluating their infrastructure choices, discussing database technology evolution and options available. It is not easy to put forth a black-and-white choice as the SAP workloads straddle both real-time analytics and extreme transaction processing, and infrastructure choices can now be vast, given technology advancements around in-memory and faster processing speeds.


In an effort to capitalize on ballooning amounts of data, organizations are placing it in the hands of more users through more channels than ever before. While this enables data-driven decision making and provides better insight into enterprise activity, it also can make sensitive data more vulnerable. Given recent data breaches across multiple organizations, it’s clear that reports, dashboards, and applications containing sensitive information need to be proactively and adequately safeguarded.This paper addresses the critical capabilities needed to secure BI and analytics applications.


From fraud detection to ad targeting, supply-chain optimization to campaign forecasting, the key use cases for big data require a successful analytics program. Businesses are investing heavily in initiatives that will increase the amount of data at their fingertips. In fact, the percentage of organizations with big data projects in production is expected to triple within the next 18 months according to a recent study from Unisphere Research. However, many businesses are spending more time finding needed data rather than analyzing it. To compete on analytics, the right mix of people, processes and technology needs to be in place to generate value. Download this special report to learn about the key technology solutions and strategies for succeeding with big data analytics today.


According to research by IDC, the digital universe is doubling in size every two years, and by 2020, we will create and copy 44 trillion gigabytes — nearly as many digital bits as there are stars in the universe. So, how can you enable your organization to reap value from Big Data rather than being smothered by it?


Information prowess has become a key differentiator for industry leaders, putting pressure on data professionals. Learn about the three steps to successful collaboration — thinking as one, moving as one, and governing as one — as well as which software can help get your team there.


Discover how collaborative data governance enables organizations to effectively manage IT bureaucracy and drive superior data discovery.


Discover how collaborative data governance allows IT to fulfill its business-data responsibilities while continuously improving users’ data-discovery experience.


The goals of users and IT can sometimes appear to be at odds. Discover how collaborative data governance helps IT deliver better information, faster.


Empower your organizations’ analytical detectives. Learn how the right tools improve the performance and decision making of business intelligence users.


Discover how analytical evangelists build progressive, adaptable organizations and drive collaboration across all levels and functions of business.


Learn how self-service business intelligence (BI) provides gunslinger decision makers with quick and efficient access to data without IT intervention.


Data benefits your business – but only if it’s fresh. In this brief, see how to replicate real-time data, whether it’s onsite, remote or cloud.


Wondering where Oracle’s decision to deprecate Streams leaves you? SharePlex delivers more flexibility and productivity in one affordable solution.


Learn how the proven process outlined in this white paper can help you overcome migration challenges and successfully upgrade to Oracle® database 12c.


Powering real-time applications involves scaling not only existing enterprise applications, but also new applications that have emerged from the web, social media, and mobile devices. Overwhelmed by massive data growth, businesses must carefully select cost-effective technologies that can enable applications to easily manage both the data volumes of today and its exponential growth in the future.


Big data is busting the seams of most enterprise data warehouses. Download this complimentary IDC ExpertROI Spotlight, sponsored by HP, and learn how you can transform your enterprise data warehouse to easily manage and analyze massive volumes of big data without multi-million dollar capacity expansion investment costs.


Your IT infrastructure is critical, and keeping it running efficiently can take a toll on your team, especially if they are spending all their time on low-level, day-to-day tasks, instead of the strategic growth of the business. Gaining operational control of your IT infrastructure assets - and turning IT into a strategic differentiator - gives you the power to concentrate your team’s talents on driving business instead of performing maintenance. Download this whitepaper to learn more


Today’s database administrators are challenged with the need to prioritize managing round-the-clock critical functionality, addressing increasingly expanding volumes of data and consulting with end-users to design new applications. But low-level, day-to-day tasks can distract from that, which is why many CIOs are shifting to outsourced or managed service solutions to handle the basic-but-critical tasks.


Today, the world of decision-making, along with the data sources and technologies that support it, is evolving rapidly. The future of data warehousing is not only being shaped by the need for businesses to deliver faster data access to more users, but the need for a richer picture of their operations afforded by a greater variety of data for analysis. A new data warehousing architecture is emerging, along with a new generation of technologies and best practices, to support the requirements of big data and the need for faster decision-making. To learn about the new technologies and strategies paving the way, download this special report today.


Workflows are available within Microsoft SharePoint,and help users track and monitor documents or files associated with a specific business process. Although you can use the workflows provided with SharePoint,you can also create custom workflows using .NET. So what options are available and how can you use workflows to benefit your team?


SharePoint is a Microsoft web application frameworkand platform commonly used for collaboration, but organizations can use it for much more than sharing internal documents. In this white paper we outline six different things you can do with SharePoint beyond basic collaboration to increase productivity and cut application clutter at your organization.


Decision-makers responsible for high-performance OLTP face several considerations as they build their competitive strategy. This paper examines issues of interest to IT leaders responsible for mission-critical data processing.


MongoDB 3.0 includes WiredTiger, an optional storage engine, to address performance issues. It’s better than the default storage engine, but how well does it improve MongoDB performance? Avalon Consulting, LLC, big data experts and thought leaders in emerging technologies, benchmarked MongoDB 3.0 with WiredTiger and Couchbase Server 3.0.2 to find out. The bottom line: Couchbase outperformed MongoDB by a factor ranging from 2x to 4.5x.


The “pie-in-the-sky” days of big data may be over, but the urgency for businesses to compete on analytics is stronger than ever. In fact, the percentage of organizations with big data projects in production is expected to triple within the next 18 months based on a recent study from Unisphere Research. The conversation around big data is shifting, from why to how. How can businesses harness the bits and bytes of data being captured inside and outside their enterprise to improve, empower and innovate? To learn about the key big data success stories today, download this special report.


In a world where the pace of software development is faster and data and piling up, how you architect your data layer to ensure a global user base enjoys continual access to data is more important than ever.


While successful mobile apps can elevate and transform your brand, hidden deployment disasters can tear down all your hard work in the blink of an eye.


What is fast data? It's data in motion, and it creates Big Data. But handling it requires a radically different approach. Download the Fast Data Stack white paper from VoltDB. Learn how to build fast data applications with an in-memory solution that’s powerful enough for real-time stateful operations.


Over the last few years, NoSQL database technology has experienced explosive growth and accelerating use by large enterprises for mission critical applications.


This white paper looks at a big data management system, seamlessly integrating Hadoop and NoSQL data, so that big data can become part of business as usual.


The hottest term today—the “Data Lake”—is currently coming off the hype cycle and into the scrutiny of pragmatic IT and business stakeholders. As with all big concepts that have transformed the industry, from the early days of data warehousing and business intelligence, to the growth of cloud computing and big data, best practices are ultimately proven to deliver the benefits promised. To clarify the ambiguities surrounding the concept of the Data Lake, Unisphere Research and Database Trends and Applications combined forces with Radiant Advisors to publish a comprehensive report, “The Definitive Guide to the Data Lake.” By combining an analysis of fundamental information management principles with existing customer implementations of big data and analytics, this report explains how current data architectures will transform into modern data platforms. Download your copy today. Sponsored by industry-leaders Hortonworks, MapR, Teradata and Voltage Security


Oracle Big Data Discovery is designed to be “the visual face of Hadoop” to enable business users to transform raw, big data and mash up with other traditional data into actionable business insight with a single analytics product without programming.


Oracle Big Data Appliance is not just quicker to deploy. It's also cheaper to purchase and operate than the cluster you build yourself. Read this white paper to find out why.


Extract value from your big data and analytics, faster. Read the solution brief from Enterprise Strategy Group and learn how to intelligently stack Dell software, hardware and service offerings to eliminate multi-vendor systems and extract greater value from your investment.


Better decision-making requires requires access to all your data. In this on-demand webcast, the database experts at Dell Software provide tips that can make you an SQL expert — without writing a single line of code.


IT management consultant and information expert John Weathington shares insights to help you succeed as your database environment evolves, including how to improve team provisioning, simplify processes, centralize management and reporting, and implement best practices in the face of constant change.


In this educational webcast, database expert John Weathington will teach you how to get your team thinking, working and governing as an effective unit. With his invaluable advice, you’ll quickly and easily achieve your project goals as part of a highly productive team.


Market Connections, Inc. uncovered the biggest frustrations federal agencies experience in managing data replication, and what they consider to be the most critical replication features. Find out how your agency compares.


Measurement and compliance are the core requirements that all higher-education institutions must pass, and data is the common denominator. Find out how these institutions manage data replication and integration, as well as the features they can’t do without.


This Campus Technology report features highlights from a May 2014 webcast, including survey results from 150 IT decision makers, as well as comments from Dell Software Senior Product Manager Bill Brunt and information on Dell Software's SharePlex data replication solution.


How do you effectively manage and protect your data when it keeps growing at an exponential rate? This Center for Digital Government brief explores the ins and outs of data replication — how it works, what it offers and its appeal to IT professionals.


Using Toad Business Intelligence Suite, Concordia University was able to provide users with a secure self-service mechanism for pulling data that improved visibility and accuracy, as well as saving university staff countless hours annually.


The University of Alaska system needed a tool that would enable both novice and expert users to easily run ad hoc queries against multiple data sources. Find out why they chose Toad Data Point to save time and increase productivity.


This report looks at how higher education institutions are using analytics to recruit and retain the best students, as well as improve the learning experience. Find out how to overcome barriers to implementing analytics across all areas of higher learning.


Find out how schools are using data analytics to personalize the learning experience and improve student outcomes, as well as get tips for surmounting roadblocks to creating successful analytics in your educational setting.


Find out how e-learning company Blackboard more than doubled their number of concurrent users from 36,000 to 100,000 visibility — without any appreciable overhead costs — using Dell™ Foglight for Oracle.


Find out why Miami-Dade County, FL improved services for 2.5 million citizens using Toad software to streamline database administration and development, and why county DBAs are claiming “they just can’t function without it.”


This report compares the three-year cost of downtime for mission-critical transaction processing systems for IBM DB2 10.5 and Microsoft SQL Server 2014 showing distinct IBM advantages.


Microsoft's SharePoint is a Web application framework used to create Web pages and for content and document management. If it becomes sluggish, it can affect business productivity and operations. This white paper outlines 10 common user challenges, along with guidelines for resolving them. We also discuss some ancillary tools to help users continue maintaining SharePoint.


This case study shows three approaches companies have taken to strategically source SQL Server Development. You can make that strategy even smarter by tapping the proficiency you’ll find through Datavail. As the largest pure play database services company in North America, Datavail explains here how the companies involved were able to reach their strategic goals by easing the burden of developing and implementing optimal solutions for SQL server data management


From hybrid databases that can process structured and unstructured data - and run transactions and analytics - in the same location, to hybrid data architectures that bring together both established and new database approaches to address the requirements of different data sources, workloads and applications, the reality that most organizations are facing today is that the world of big data is a multifaceted one. To be successful, organizations need speed, scale, flexibility and agility. At the same time, they need ways to keep down costs and complexity. To learn about the key technologies and approaches to hybrid databases and data environments, download this special report from Database Trends and Applications.


Today, there are more things connected to the Internet than people on the planet. From home appliances and cars, to light bulbs and livestock, if you can attach a sensor to it, it can be become part of a universe of physical objects able to communicate and interact digitally. According to estimates, this universe is on track to exceed over 25 billion devices by 2020, not including PCs, tablets and smartphones.


SQL-on-Hadoop solutions have become very popular recently as companies solve the data access issues with Hadoop or seek a scale-out alternative for traditional relational database management systems. Read this white paper to get a better understanding of the SQL-on-Hadoop landscape and what questions you should ask to identify best solution for your business.


Companies are increasingly recognizing the need to integrate big data into their real-time analytics and operations. For many, though, the path to big data is riddled with challenges - both technical and resource-driven. In this white paper, learn about the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated operational data stores (ODSs).


Ovum, a leading global technology research and advisory firm, discusses Splice Machine's position as the first OLTP SQL database running on Hadoop. Splice Machine turns Hadoop into a SQL OLTP database, fits in the emerging market for distributed Internet-scale transaction-processing platforms, and differentiates from other emerging NewSQL and NoSQL distributed, transaction-processing platforms.


This White Paper introduces you to Splice Machine, the only Hadoop RDBMS on the market. As a full-featured Hadoop RDBMS with ACID transactions, the Splice Machine database helps customers power real-time applications and operational analytics, especially as they approach Big Data scale.


Organizations are now looking for ways to handle exploding data volumes while reducing costs and maintaining performance. Managing large volumes and achieving high levels of concurrency on traditional scale up databases, such as Oracle, often means purchasing expensive scale-up hardware. In this white paper, learn about the different options and benefits of scale out solutions for Oracle database users.


Modern applications need to manage and drive value from fast-moving data streams. Traditional tools like conventional databases are too slow to ingest data, analyze it in real-time, and make decisions. Successfully interacting with fast, streaming data requires a new approach to handling these new data streams.


This white paper highlights the differences between a relational database and a distributed document-oriented database, the implications for application development, and guidance that can ease the transition from relational to NoSQL database technology.


Philip Howard of Bloor Research compares performance capabilities of the leading business intelligence platforms. Companies studied in this comparison are IBM (Cognos, DB2 with BLU Acceleration), SAP (BusinessObjects, HANA), Oracle (Business Intelligence, Exadata) and Microsoft (Business Intelligence, SQL Server).


Join Dell expert Robert Wijnbelt for this educational session to learn how you can apply real-time and historical performance monitoring to both virtualized and nonvirtualized databases. Get fast, accurate and detailed SQL workload analytics within a flexible monitoring platform.


Are you struggling to manage an increasingly complex database environment? If so, you’re not alone. Research shows that data growth is doubling every 18 months. And it’s not just the massive volume of data you have to manage now. You’re dealing with diverse data types, multiple database platforms, new technologies and the cloud. It’s no wonder most database professionals are reeling just to keep up.


Underpinning the movement to compete on analytics, a major shift is taking place on the architectural level, where data is captured, stored, and processed. This transformation is being driven by the need for more agile and flexible data management processes in the face of increasing volumes and varieties of data.


One of the leading pediatric healthcare facilities in the United States knows children are not just small adults. They need specialized diagnosis, treatment, equipment, and support. Most importantly, they require doctors, nurses, and specialists who understand these differences. This national children's hospital relies on a big data platform to better understand its patients, their conditions, and the quality of care they receive in support of its mission: to make kids better today and healthier tomorrow.


Profiling your application code helps youdetermine why your code is not running properly. Without it, you do not have the information needed to assess the problem. Once armed with facts, you can tackle the problem's root cause. Six tools to proactively monitor your application code are described here.


Wondering where Oracle’s decision to deprecate Streams leaves you? SharePlex delivers more flexibility and productivity in one affordable solution. Read the White Paper >>


Looking for an alternative to cumbersome data transfers? SharePlex Connector for Hadoop replicates data from Oracle to Hadoop in near real time. Read the White Paper >>


Find out how to evaluate new technologies that analyze big data, and discover which features are most useful. Plus, learn how to incorporate big data analytics to drive more effective strategies and decision-making. Read this white paper today.


Whether Hadoop becomes the de facto data management platform of the future or simply a key component in a hybrid architecture comprised of numerous technologies, one thing is for sure: Hadoop adoption is growing. In fact, a recent survey conducted using subscribers of Database Trends and Applications found that 30% have deployed Hadoop at their organization while 26% are currently considering or planning for its adoption within the next 12 months.


Today’s users demand reports with better business insights, more information sources, real-time data, more self-service and want these delivered more quickly, making it hard for the BI professionals to meet such expectations. This white paper outlines how the use of Data Virtualization can help BI professionals to accomplish these goals.


This Whitepaper features customer case studies from enterprise businesses, like Biogen Idec, RCable and Telefonica, that demonstrate how integrated and real-time views of critical business information from across a broad spectrum of disparate data, both within and outside the enterprise, is being realized using Denodo’s Data Virtualization technology, allowing companies to combine, query and publish data sources in ways that were not possible before. Read this whitepaper to learn how the Data Virtualization platform has emerged to create a unified data layer that virtualizes underlying internal and external data sources and delivers valuable integrated business information in the form of on-demand data services to multiple applications and users with managed security, service levels and governance.


In a complex database environment, keeping tabs on the health and stability of each system is critical to ensure data availability, accessibility, recoverability, and security. Through performing thousands of health-checks for clients, Datavail has identified the top issues affecting SQL Server performance today.


The much-used Microsoft SQL Profiler is a tool headed toward obsolescence. What options are available once the tool is deprecated? We examine SQL Server Extended Events as a possibility. The similarities and differences between these tools is examined and some practical uses are demonstrated.


In 2014, traditional data warehouse vendors continue to face the challenge emerging from new processing techniques such as MapReduce/Hadoop distributions. These new techniques are often referred to as "big data solutions" in the popular press, and the continued hype regarding new approaches has continued. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.


Linux and Red Hat Enterprise Linux have become a platform for the highest performing and most operationally stable enterprise computing workloads. Learn how SAP HANA and Red Hat Enterprise Linux are ideally suited to take advantage of modern distributed architectures that deploy on x86-based commodity hardware, delivering reliability, scalability and affordability to enterprise customers


Drill down into the details and learn more about SAP HANA enterprise-class capabilities. A 100 TB performance benchmark has demonstrated that SAP HANA is extremely efficient and scalable and can very simply deliver breakthrough performance for real-time business on a very large database that is representative of the data that businesses use to analyze their operations.


According to Forrester, without collapsing and consolidating the expanding IT landscape of technology stacks, your business can easily end up fractured and broken across your technology silos. Look at the finding to find ways to simplify your IT landscape and free your data from infrastructure silos.


This paper explores the SAP HANA design as it relates to scalability and performance. It describes how SAP HANA’s advanced algorithms meet the application scalability goals across a range of hardware and demand options.


This paper explains the terminology and concepts of High Availability, and provides a comprehensive overview of the different High Availability design options available today for SAP HANA, in support of fault and disaster recovery.


Jump into a completely new computing paradigm. SAP HANA Enterprise Cloud gives you the full power of SAP HANA in a managed cloud environment – so you get the speed of in-memory computing with the ease and freedom of a cloud solution.


Learn about the transformational power of SAP HANA by examining IDC's independent assesment of the tangible benefits associated with the deployment of SAP HANA at the University of Kentucky


According to Forester Research, the SAP HANA platform changes the cost equation through simplification. By looking at findings in this report you can assess how the projected reduction in total cost of ownership could benefit your organization.


Understand how you can reduce IT complexity with the power of in-memory technology delivered with the SAP HANA platform.


In today’s reality business cannot stop and data must always be accessible. Learn how SAP HANA can protect data and ensure business continuity in the most demanding mission-critical enterprise environments.


Learn about SAP HANA’s defining technical capabilities from real users and industry experts. Discover how SAP HANA optimizes information processing through examples, demos or code snippets. Acquire a deeper understanding on how SAP customers and partners are using SAP HANA and are assessing its value.


Competing in this new hyper-connected and digitized world requires a new business platform that meets the demand for speed and innovation while reducing complexity. Learn how the SAP HANA platform transforms existing systems while enabling innovation to meet future business needs nondestructively.


The SAP HANA platform provides groundbreaking innovations, from technology to user experience to extensibility. Examine how each of these elements can be put to work to power all your applications and future-proof your business.


Learn why IDC predicts that by using a single in-memory platform to manage both advanced analytics and mission-critical transactions you can transform the way run your business. Explore how your business may find opportunities for innovation, speed, and simplification of the IT landscape with SAP HANA.


For an implementation of its size, Western Union anticipated going from “zero to Hadoop” in about a year. Exceeding expectations, “We had our first production-ready Cloudera system up within just five months,” commented Saraf. “We were actually leveraging it for some of our transactional processing, and saw immediate value.”


Centralizing and bringing compute to all your data enables new information-driven business competencies that were previously too expensive or complex for most enterprises. A data hub delivers advanced capabilities—synchronous customer models based on social networks and offline behaviors, truly real-time analysis of streaming data-in-motion, proactive security against fraud and cyber-attacks—without the custom, locked-in systems that take time to implement and don’t scale as your business grows.


The most direct path to making Big Data -- and Hadoop -- a first-class citizen will be through an "embrace and extend" approach that not only maps to existing skill sets, data center policies and practices, and business use cases, but also extends them.


Ask the average DBA how they spend the majority of their time and the answer is almost always going to be “performance tuning.” Optimal performance is a constantly moving target. Database transactions and volumes are constantly growing. Business applications are increasing in sophistication with greater user requirements. To stay competitive, companies want speed, scalability, high-availability and cost-efficiency. The challenge, of course, is getting there. Many IT departments are researching new technologies to address these issues, from database monitoring tools, to new types of databases, to virtualization and cloud solutions. In a recent study conducted over 285 organizations across North America, database performance monitoring was ranked the top area ripe for automation. This same study found that migrating or upgrading databases was the top area for investment, followed closely by virtualization and cloud.


Extract value from your big data and analytics, faster. Read the solution brief from Enterprise Strategy Group and learn how to intelligently stack Dell software, hardware and service offerings to eliminate multi-vendor systems and extract greater value from your investment.


The right predictive analytics solution can empower you to identify new customers, increase revenue and improve efficiency. View the Hurwitz report to understand why Dell’s Statistica’s enthusiastic customers gave it high marks for value compared to price. Read more to understand why Statistica users are extremely statisfied with the product.


Dresner Advisory Services provides 18 vendor rankings based on user responses about data preparation, usability, scalability, and integration. Among the 18 qualifying vendors, Dell Statistica tied for second place with IBM and SAS. This comprehensive report provides detailed comparisons in an easy-to-read buyers' guide. Read the Study >>


A SQL Server is a complex database environment that needs iterative analysis and constant tweaking to ensure its continual, optimal operation. This requires routine "health checks." What criteria should help a manager properly evaluate the merits of a paid health check? In this paper, we explore various possibilities including working with outsourced database management firms, using in-house services, or simply waiting to perform any such examination.


Database administrators (DBAs) are vital to the smooth operation of every large business, government or organization. But how much do you really know about what DBAs do?


Joe Clabby of Clabby Analytics compares and contrasts offerings from IBM, SAP and Oracle for the purposes of analyzing Big Data databases. He cites DB2 BLU's data compression technique and its advanced parallel processing as two distinct design advantages. His conclusion: ""In our opinion, these differences should lead to IBM's DB2 BLU Acceleration delivering consistently higher performance at a lesser cost."


Locking and blocking are fundamental to any database to maintain consistency. In this paper we will try to look at the various ways to identify potential problems of locking / blocking, how they are different, what are the options SQL Server gives to resolve the same and more.


IBM Informix is the clear choice over Oracle Database for High Availability and Data Replication Organizations with requirements for data replication and high availability are frequently met with daunting costs, especially if they are considering Oracle database and RAC. They should be aware that there is an alternative. IBM Informix offers enterprise-class database availability in a significantly less complex, less expensive manner for both distributed and centralized deployments. This detailed analyst report by ITG compares capabilities and costs between Informix and Oracle databases and concludes “The capabilities of Informix 12 provide clear-cut value as an alternative to Oracle Database and RAC in distributed as well as centralized deployments


The database world is undergoing unprecedented change. IBM and Oracle have implemented new technologies in their mainstream databases, but there are differences with regard to high-performance analytics and transaction processing. Read the ITG management report to see how IBM and Oracle solutions compare in cost and technology.


In this era of big data, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data that resides in both transactional processing and data warehouse systems. They are trying to quickly implement new solutions to gain additional insight from this data to improve outcomes across all areas of the business, while simultaneously optimizing resource utilization and reducing costs. IBM® DB2® for Linux, UNIX and Windows is a multi-workload database management solution built for these challenges. Built with CIOs in mind, this interactive online tool offers new insights in form of analyst research papers, problem/solution guides and direct client feedback about Total Cost of Ownership and overall efficiencies gained by selecting DB2.


High reliability and system availability are absolutely crucial for database and the underlying server hardware. A 67% majority of organizations now require that their databases deliver a minimum of four, five or six “nines” of uptime for their most mission critical applications. That is the equivalent of 52 seconds to 52 minutes of unplanned downtime per database/per annum. Those are the results of ITIC’s 2013 - 2014 Database Reliability and Deployment Trends Survey, an independent Web-based survey which polled 600 organizations worldwide from August through October 2013. IBM DB2 and Informix databases, followed closely by Microsoft SQL Server, achieved the highest overall reliability and customer satisfaction ratings for product performance, security, technical service and support and the value of its pricing and licensing agreements. Oracle DB scored high for reliability and performance but lagged far behind IBM and Microsoft in customer satisfaction with pricing, licensing and tech


Big data promises valuable insights that are enticing organizations to invest in analytics and BI tools. Yet many overlook the need for a DBMS that can stand up to the strain big data places on the underlying infrastructure. This ePaper explores the DBMS characteristics of most importance in a big data setting.


Philip Howard of Bloor Research compares performance capabilities of the leading business intelligence platforms. Companies studied in this comparison are IBM® (Cognos, DB2 with BLU Acceleration), SAP (BusinessObjects, HANA), Oracle (Business Intelligence, Exadata) and Microsoft (Business Intelligence, SQL Server). His conclusion: "DB2® with BLU Acceleration should not only provide better performance in the first place, but also provide consistent performance, with a corresponding requirement for less hardware and less cost."


A Quick-Start Guide to Free Up Your Data Warehouse ... and Budget According to Gartner, nearly 70% of all data warehouses are performance and capacity constrained -- so it's no surprise that total cost of ownership is the #1 challenge most organizations face with their data integration tools.


As a data management pro, you need to be able to quickly assess the quality of the data within your datasets and thoroughly understand its consistency and uniqueness. Data profiling capabilities provide you with the insights to ensure data quality standards are met and on track with your data governance plans. In this session, industry expert Peter Evans will show you how to implement techniques to ensure data quality when building datasets for reporting, business intelligence and analytics.


Attunity’s exciting new eBook highlights the importance of ensuring that your data is timely and how to go about it smartly. It also includes interesting market statistics on Big Data use today, addresses the challenges of moving Big Data quickly and easily and closes with proven success stories of companies that have overcome data transfer hurdles. Download it today!


Explore how the tools and best practices in this white paper can help your business effectively track, manage and regulate data to stay in compliance.


DBAs and developers working with IBM DB2 often use IBM Data Studio. Toad DBA Suite for IBM DB2 LUW complements Data Studio with advanced features that make DBAs and developers much more productive. How can Toad DBA Suite for IBM DB2 LUW benefit your organization? Download the tech brief to find out.


Database administrators, developers, QA analysts and performance engineers have different approaches to identifying problematic SQL. This technical brief explains the needs of each role and how Dell Software products can be used to identify problematic SQL statements from Sybase ASE. Learn more.


Toad for IBM DB2 is a powerful tool for the database administrator. But it’s some of its newer and lesser known features that provide the great productivity benefits in the DBA’s day-to-day work. Do you know the top 10 features of Toad for IBM DB2? Download this white paper and find out.


Learn how the proven process outlined in this white paper can help you overcome migration challenges and successfully upgrade to Oracle® database 12c.


Discover how our enterprise-class logical database replication technology enables data to be shared between databases with no distance limitations.


Read the tech brief and learn how database replication provides a cost-effective way to consolidate and distribute data in real time.


Data integration is a crucial part of the equation for any business interested in fully harnessing its information resources. However, data integration challenges are multiplying in step with the growing complexity of data environments. Most organizations today are dealing with an ever-expanding array of data sources and users with varying requirements. Therefore, it is no surprise that integration projects are topping the priority list. In fact, a brand new study conducted over the readers of Database Trends and Applications found that 38% of companies polled had integration projects in production while 30% were planning or piloting projects. Download this special report to learn about the key developments in the marketplace and new solutions helping companies overcome challenges.


If you don’t get the data right, nothing else matters. However, the business focus on applications often overshadows the priority for a well-organized database design. The database just comes along for the ride as the application grows in scope and functionality. This paper focuses on seven common database design “sins” that can be easily avoided and suggest ways to correct them in future projects.


Many companies adopt a NoSQL database to transparently and inexpensively scale up horizontally by adding hardware instead of vertically increasing processing power on a RDBMS. To quantify how three of the most popular NoSQL databases (Cassandra, Couchbase and MongoDB) scale as more hardware is added to the cluster, Thumbtack Technology conducted a study using the YCSB benchmarking tool. The full results are now available. If your company is considering NoSQL, this study is a must-read.


In-memory computing is currently racing toward the mainstream and revolutionizing the way enterprises leverage data to support their business requirements along the way. How big is this revolution? Nearly 75% of IT stakeholders at organizations across North America surveyed by Unisphere Research believe that in-memory technology is important to enabling their organization to be competitive. To succeed in today’s economy, businesses need faster data processing, fresher data, and more cost-effective data systems. Download this special report to learn the ins and outs, as well as the key products available in the marketplace.


Any business analyst will tell you they have a love-hate relationship with Excel. While purpose-built for calculations, graphing and reporting, it has also been the only user-friendly tool available for manipulating data pre-analytics. That's where the "hate" part of the relationship comes in. Most Excel "jockeys" will tell you that they spend way too much time hand-crafting data: using filters to find flaws, creating pivot tables to find outliers, writing VLOOKUPs, scripting, blending, screaming, and yelling. As the clock ticks and deadlines loom, Excel simultaneously becomes the lock and the key to every analytic exercise. Accelerate your path to analytics with a modern approach to data preparation. This eBook shows you how.


Watch this new webcast to learn how to evolve your software and databases to support your changing business needs without affecting performance. Find out how to reduce risk, compare database objects, automate scripting and research, and replay database workload to simulate the production environment.


Big data got you down? Watch this new webcast with Oracle Ace Bert Scalzo to learn how to organize current data stores, use tools to create and maintain successful data warehousing and business intelligence solutions, transform existing OLTP models, answer critical questions and plan for the future.


While Oracle Real Application Cluster (RAC) allows you to scale databases horizontally, it’s not without its limitations. Join the webcast to learn how you can get real-time data replication that helps you reduce risk and downtime while enhancing performance and infrastructure.


Learn how leading online dating site, eHarmony, implemented a state-of-the-art data replication solution to help its subscribers find their perfect match and enhance strategic decision-making.


While enterprise adoption of Hadoop is expanding, it brings new types of challenges, from manual coding demands, skills requirements, and a lack of native real-time capabilities. Learn the steps to success for adopting Hadoop-based big data analytics, and find out about a special solution that allows you to mix and match both real-time and analytics workloads.


This paper summarizes the issues healthcare institutions face today with legacy RDBMS + SAN data environments and why the combination of MarkLogic, Apache Hadoop, and Intel provides a government-grade solution for Big Data.


This paper summarizes the issues financial services companies face today with legacy RDBMS + SAN data environments and why the combination of MarkLogic, Apache Hadoop, and Intel provides a solution for enterprise Big Data.


This paper summarizes the issues public agencies face today with legacy RDBMS + SAN data environments and why the combination of MarkLogic, Apache Hadoop, and Intel provides a government-grade solution for Big Data.


Hadoop is great for storing and analyzing data, but it still needs a database. Hadoop is simply not designed for low-latency transactions required for real-time interactive applications, or applications that require enterprise features such as government-grade security, backup and recovery, or real-time analytics. The real benefits of Hadoop are realized only when running alongside an enterprise grade database.


See how to migrate or upgrade your Oracle database with minimal risk and downtime, and use SharePlex to integrate with modern systems like Hadoop.


Discover how real-time replication technology can help you easily meet your business continuity goals — and reduce costs. Watch the on-demand webcast.


NoSQL databases are seen by many as a more elegant way of managing big, and occasionally small, organizational data. This paper is for technology decision-makers confronting the daunting process of selecting from this fast-growing category of data management technologies. It will introduce a set of comparative features that should be used when selecting a NoSQL technology for your workload and your enterprise. There are many common features across NoSQL databases, but even these have implementation nuances that should be understood.


Now more than ever, big data, social media, and the consumerization of IT have created a huge demand for data analysts. Today's analysts are highly skilled, highly empowered and highly productive. Government agencies need to understand how to capitalize on the investment they are making into these super analysts. In this article, information expert and executive consultant John Weathington discusses how organizations can take advantage of the resources they already have by increasing productivity using new Toad Business Intelligence software.


Dell Software commissioned leading government research provider Market Connections, Inc. to poll federal IT administrators on awareness of, and attitudes toward, the use of data replication and integration tools, especially the features they deem most critical when selecting a tool. This white paper explores the findings of that poll and assesses how IT managers in federal agencies are faring with their data management strategies.


When it comes to databases, businesses have more choices than ever today. From the longstanding RDBMS, to the growing camps of NoSQL and NewSQL databases, the landscape is becoming increasingly specialized and best-of-breed. This transformation mirrors the plethora of challenges IT departments across industries face today: the need to handle larger data volumes, the need to handle new data types, the need to deliver data faster, the need to support more application users, and the need to operate more cost-effectively, to name a few. Download this special report to read about the current state of the marketplace and learn about the new technologies that are helping businesses address these challenges.


While the hype surrounding NoSQL database technology has become deafening, there is real substance beneath the often exaggerated claims. But like most things in life, the benefits come at a cost. Developers accustomed to data modeling and application development against relational database technology will need to approach things differently. This white paper highlights the differences between a relational database and a distributed document-oriented database, the implications for application development, and guidance that can ease the transition from relational to NoSQL database technology.


Today, enterprises are supporting hundreds or even thousands of databases to meet growing business demand. With most organizations supporting Lean and Agile application development initiatives, IT organizations are being pressured to deliver applications in months, if not weeks. Although DBMS technology has improved in automation over the years, provisioning and administering databases for application development remains a bottleneck, largely because of lack of database administration (DBA) and system resources, limited IT budget, complexity of IT infrastructure, and lack of priority to enterprise databases. As a result, many enterprises are struggling with new application development to innovate, remain competitive, and deliver improved services in the age of the customer.


Real-time information processing, a concept that has been around for a long time, has been in vogue lately. One reason for its popularity is the fact that real-time capable technology and online services have become very affordable, even for small businesses. Another factor is that real time has the attention and interest of the boardroom and executive suite. The idea of being able to instantaneously sense and respond to threats and opportunities has a lot of appeal for business leaders vying for an edge in a fiercely competitive global economy. With technology chipping away at the time it takes to gather relevant and accurate data, there’s less need for bureaucratic, hierarchical decision-making structures. Emerging technologies are now becoming part of the enterprise scene—such as in memory technology, cloud, mobile, and NoSQL databases—are bringing more real-time capabilities to the fore.


Today, the use of NoSQL technology is rising rapidly among Internet companies as well as the enterprise. Three interrelated megatrends – Big Data, Big Users, and Cloud Computing – are driving its adoption. Download this white paper to gain a deeper understanding of the key advantages NoSQL technology offers and if your organization should consider joining the growing ranks of users


Business intelligence and analytics has undergone a revolutionary shift over the past few years, a transition that is still working its way through enterprises and their processes. Nowhere is this more evident than in the rapidly changing roles and expectations of information workers—those managing the data, as well as those consuming it.


Cloud databases are on the rise as more and more businesses look to capitalize on the advantages of cloud computing to power their business applications. In fact, a recent Unisphere Research study revealed that 37% of organizations are now using or considering adopting a cloud database. Elastic scalability, high availability, flexible capacity planning, and self-service provisioning are among the key, sought-after benefits. While traditional concerns about data security and compliance still have some enterprises watching from the sideline, for many enterprises, the advantages of cloud databases are becoming harder and harder to ignore.


Since the 1980S, companies have invested millions of dollars in designing, implementing, and updating enterprise data warehouses as the foundation of their business intelligence systems. The founding principle of the data warehouse was simple: a single version of the truth to support corporate decision making. Today, the world of decision making, along with the data sources and technologies that support it, is evolving rapidly. The future of data warehousing is not only being shaped by the need for businesses to deliver faster data access to more users, but the need for a richer picture of their operations afforded by a greater variety of data for analysis. The unstructured and semistructured data that companies are collecting from social media, remote sensors, web traffic, and other sources needs to be integrated and combined for analysis to produce valuable insights for better decision making.


Listening to the pundits, you can be forgiven for thinking that the unstructured, “cloudified,” out-of-network data tsunami is poised to sweep through and shake enterprises out of their comfortable, relational worlds. But there’s more to the story than that. Enterprises still, and will likely continue to, rely on relational database systems as their transactional workhorses. These systems continue to evolve and adapt to today’s new data realities. Many relational database and data warehouse environments are opening to unstructured data, running in clouds, and supporting caches that enable real-time— or near real-time—decision making.


The next generation of databases and data platforms is coming into full fruition to help enterprises more effectively store, process, analyze and deliver value from Big Data. This report hones in on the key challenges and opportunities ahead, and provides in-depth information on leading-edge technologies and solutions. Download your copy today to stay ahead of the latest developments in NoSQL, NewSQL and Hadoop.


This DBTA Thought Leadership Series discusses new approaches to planning and laying out tracks and infrastructure, moving to a real-time analytics requires new thinking and strategies to upgrade database performance. What are needed are new tools, new methodologies, new architectures, and a new philosophy toward managing data performance.


Today’s 24/7 enterprises require a well-designed, next-generation data integration architecture. Why is data integration so difficult? For many organizations, data integration has been handled as a dark art over the years, implemented behind the scenes with ad hoc scripts, extract, transform, and load (ETL) operations, connectors, manual coding, and patching. Often, front-end applications to get at needed data are built and deployed one at a time, requiring considerable IT staff time, as well as creating a waiting period for business decision makers. This one-off, manual approach to data integration will not work in today’s competitive global economy. Decision makers need information, at a moment’s notice, that is timely and consistent. However, they are challenged by their organizations’ outdated data integration systems and methods. Often, information may be delayed for weeks, if not months, by the time it takes to develop handcoded scripts to deliver requested reports. The process


Hadoop is marching steadily into the enterprise, but key challenges remain, from manual coding demands to a lack of real-time capabilities and the time it takes to bring a Hadoop project into production. At the same time, brand-new startups and veteran software companies alike are delivering new offerings to the marketplace to make it easier to deploy, manage, and analyze Big Data on Hadoop. From data integration and business intelligence tools to integrated analytical platforms and a new wave of SQL-on-Hadoop solutions, the common goal is to help companies unleash the power of Hadoop for Big Data analytics. Download this special report to learn about the key solutions. Sponsored by MarkLogic, RainStor, Tableau, Qubole, Karmasphere, Appfluent, and Hadapt.


UNSTRUCTURED DATA: Managing, integrating, and Extracting Value While unstructured data may represent one of the greatest opportunities of the big data revolution, it is one of its most perplexing challenges. In many ways, the very core of big data is that it is unstructured, and many enterprises are not yet equipped to handle this kind of information in an organized, systematic way. Effectively capturing and capitalizing on unstructured data isn’t just a technical challenge, it represents an organizational challenge. A flexible and agile enterprise environment—supported and embraced by all business units—will elevate unstructured data processing and analysis to a position in which it can help drive the business. This Thought Leadership Series is sponsored by Objectivity and Database Plugins


THE WORLD OF BUSINESS INTELLIGENCE IS EVOLVING. Not only do organizations need to make decisions faster, but the data sources available for reporting and analysis are growing tremendously, in both size and variety. This special report from Database Trends and Applications examines the key trends reshaping the business intelligence landscape and the key technologies you need to know about. This Best Practices feature is sponsored by Oracle, Attunity, Tableau, Objectivity and Pentaho.


THE IDEA OF THE REAL-TIME ENTERPRISE is straightforward: Increase your organizational responsiveness through automated processes and raise organizational effectiveness and competiveness. If your organization can fulfill orders, manage inventory, resolve customer issues, and implement strategies to address changing circumstances faster and more efficiently, your organization is going to be more successful. However, for most enterprises, this is still an unrealized objective. Increasing data volumes, data varieties, and business demands are now stretching the limitations of traditional data management technologies and intensifying the challenge of integrating and analyzing data in real-time. Consequently, many organizations are looking beyond their current IT infrastructures. Download this report to learn about the leading technologies enabling organizations to deliver data across the enterprise in real-time. Sponsored by Oracle, SAP, Objectivity, JackBe and BackOffice Associates.


Cloud databases are on the rise as more and more businesses look to capitalize on the advantages of cloud computing to power their business applications. In fact, a recent Unisphere Research study found that nearly one-third of organizations are currently using or plan to use a cloud database system within the next 12 months. Download this complimentary report, sponsored by NuoDB, GenieDB, 10gen, Cloudant, Progress DataDirect, Clustrix, Objectivity and TransLattice, to gain a deeper understanding of the different types of cloud databases, their unique benefits and how they are revolutionizing the IT landscape.


BIG DATA, a well-used term defining the growing volume, variety, velocity, and value of information surging through organizations-has become more than a buzz phrase thrown about at conferences and in the trade press. Big Data is now seen as the core of enterprise growth strategies. Business leaders recognize the rewards of effectively capturing and building insights from Big Data, and see the greatest opportunities for Big Data in competing more effectively and growing business revenue streams. As the amount and variety of data grows, so do the skills required to capture, manage and analyze this data. This specialized issue of Best Practices from Oracle, Attunity, Couchbase, HiT Software Inc, Progress DataDirect, LexisNexis, Confio and Objectivity focus on a more formidable challenge: making Big Data valuable to the business. Complimentary from DBTA.


The appeal of in-memory technology is growing as organizations face the challenge of Big Data, in which decision-makers seek to harvest insights from terabytes and petabytes worth of structured, semi-structured and unstructured data that is flowing into their enterprises. This special thought leadership series provides context and insight on the use of in-memory technology, and detailed explanations of new solutions from SAP, Tableau Software, Tibco Spotfire, JackBe, Terracotta and MemSQL. Complimentary from DBTA.


Is your organization’s systems and data environments ready for the Big Data surge? If not, you are not alone. A recent study conducted among Independent Oracle User Group members by DBTA’s Unisphere Research finds that fewer than one-in-five data managers are confident their IT infrastructure will be capable of handling the survey of Big Data. This special Best Practices section from DBTA provides context and insight on the need to address this issue now, and detailed explanations of new technologies for dealing with Big Data from Aster/Teradata, MarkLogic, Akiban, Progress/Data Direct, Infinitegraph, HP-Vertica and Denodo. Complimentary from DBTA.


To compete in today’s economy, organizations need the right information, at the right time, at the push of a keystroke. But the challenge of providing end users access to actionable information when they need it has also never been greater than today. Enterprise data environments are not only growing in size, but in complexity - with a dizzying array of different data sources, types and formats. The September 2012 Best Practices in Data Integration, Master Data Management, and Data Virtualization report examines the data integration challenges and opportunities that Big Data is currently presenting data-driven organizations.


With the rise of big data, the database and data management tools market is in a state of flux, the likes of which have not been seen in this sector before. Companies are now awash in big data, and end users are demanding greater capability and integration to mine and analyze new sources of information. As a result, organizations are supplementing their relational database environments with new platforms and approaches that address the variety and volume of information being handled. In this special section in Database Trends and Applications analyst Joseph McKendrick brings you up on current thinking and strategies users and vendors are pursuing to extract value from large, often unwieldy data stores. This is followed by nine separate sponsored content pieces focusing on in-memory, real-time data integration, data virtualization, BI, columnar databases, NoSQL and Hadoop.


The rise of Big Datais challenging many long-held assumptions about the way data is organized, managed, ingested, and digested. However, for many organizations, Big Data is still a new frontier that they have only begun to explore. "Many organizations leave their data to pile up; they are aware of it as a resource but haven't analyzed it. They don't know what's useful and what's worthless." This fourteen-page section from the March edition of Database Trends and Applications is an invaluable resource that provides multiple perspectives on the chief challenges our readers face and the solutions that will enable organizations to begin tapping into the power of Big Data assets.


Key extracts from Database Trends and Applications from the December print edition focus on "Data Security and Compliance".


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