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Data Modeling

Data Modeling and Database Design and Development – including popular approaches such as Agile and Waterfall design - provide the basis for the Visualization, and Management of, Business Data in support of initiatives such a Big Data Analytics, Business Intelligence, Data Governance, Data Security, and other enterprise-wide data-driven objectives.



Data Modeling Articles

Data is increasingly appreciated by companies as their most valuable asset. But the problem is that this view is not just held by organizations themselves, there are others - including hackers and - who see it that way as well. IT and data managers can play a pivotal role in enterprise security because they are the insiders with trusted status and they are aware of where the data is stored and how best to reduce or eliminate threats. Newer security technology can also relieve many of the manual burdens associated with database monitoring.

Posted August 03, 2016

For fast-paced, turn-on-a-dime digital enterprises, with demands for 24-by-7 uptime, no activity is more vital than keeping database systems up and running. Today, database availability is no longer just a critical IT issue; it is a critical business issue. To be prepared in the event of system failures, infrastructure owners and DBAs have developed strategies to increase resiliency and assure availability of data.

Posted August 03, 2016

Database development is growing more challenging all the time. Releases are expected to come out faster than ever, and teams are more spread out across, global geographies, time zones, and skill levels. Software deployment, meanwhile needs to be spread across cloud and onsite, and accessible through more devices than ever. What's needed is an integrated end-to-end environment with multi-platform support that helps simplify development and provides automation to achieve repeatable processes and avoid potential risks that can translate into unanticipated delays.

Posted August 03, 2016

With the growing appreciation of data as a valuable resource and the pressure on organizations to become data-driven, the role of database administration has become more critical than ever, and database administrators are increasingly appreciated for the critical role they play in delivering value to the organizations. Key concerns as far as database administration are availability, security, and integration across a variety of data types and storage mechanism so that analysts and business users are empowered to be able uncover key insights when they need it. It's a lot to think about, and that is why strong database administration solutions are highly valued.

Posted August 03, 2016

In 2016, Hadoop marked its 10th anniversary and now represents much more than a platform for the storage and batch processing of vast quantities of data from disparate sources in many formats. The Apache Hadoop framework, consisting of Hadoop Common, Hadoop Distributed File System (HDFS); Hadoop YARN, and Hadoop MapReduce, remains central to most big data projects and to the creation of data lakes, but Hadoop has also expanded to represent a large ecosystem of more than 100 interconnected open source Hadoop-related projects.

Posted August 03, 2016

If information is the lifeblood of organizations today, then delivering information where it is needed faster can be considered a matter of business health, and in some cases, even business survival.

Posted August 03, 2016

There is more data available to organizations than ever before, but the goal remains the same - to unlock nuggets of gold, the useful information that will result in competitive advantage for the organization, allowing it to react to customer's needs with lightning speed, uncover new opportunities, and act fast to counter competitive threats.

Posted August 03, 2016

Over the years, MultiValue technology has maintained its base of committed advocates despite the decades-long trend toward relational database management systems. And, now with an expanding appreciation for polyglot persistence, or put more simply, the selection of the best tool for the job, there is a growing recognition that different data management systems offer different benefits with some simply better suited for certain requirements than others.

Posted August 03, 2016

While relational database technology is still the undisputed leader when it comes to enterprise data management, it is also becoming increasingly apparent that it is no longer the only game in town. By now it is clear that Not Only SQL or NoSQL technology represents a key piece of a data management picture that is increasingly diverse.

Posted August 03, 2016

Cloud solutions and services continue to grow in acceptance for many reasons - the ease of deployment and upgrades, elastic scalability, and the pay as you go simplicity. Cloud database options offer an approach that allows organizations to run a database on a cloud platform, either running the DB on the cloud independently or selecting a database service that is maintained by a public cloud service provider.

Posted August 03, 2016

The rise of new data types over the past 10 years has led to new ways of thinking about data, and new data storage and management technologies such as Hadoop, NewSQL, and NoSQL. However, despite all the new technologies that have emerged in the last 10 years, one thing is clear: the relational database management system which has been the enterprise workhorse for decades will remain a critical component of the data architecture.

Posted August 03, 2016

Today, data is being recognized and appreciated as an asset, and even, some have suggested, a kind of currency. But beyond the obvious businesses built on data - such as Airbnb's rental business, Uber's car service app, and Alibaba's online marketplace - every business today is striving to become a data-driven organization, with turn-on-a-dime agility and rapid insights into customer behaviors and desires.

Posted August 03, 2016

The rapid expansion of The IT market shows no signs of abating. The growth of data in all its forms—from traditional data sources and newer sources such as social media and connected devices—is driving swift innovation. To address the need to secure, integrate, and draw meaningful insights from all this data, a steady flow of products and services, as well as new features to long-established offerings, continues to emerge.

Posted August 03, 2016

Splice Machine is teaming up with Incedo, a technology solutions provider specializing in data and analytics, product engineering, and emerging technologies, to generate solutions that will help enterprises manage data and accelerate data processing.

Posted August 03, 2016

Oracle announced today that it is acquiring NetSuite in a transaction valued at approximately $9.3 billion. The transaction is expected to close in 2016. In a statement, Zach Nelson, CEO of NetSuite, said that NetSuite will benefit from Oracle's global scale and reach to accelerate the availability of its cloud solutions.

Posted July 28, 2016

Compuware has introduced a mainframe release automation solution that enables enterprises to bring continuous delivery best practices to their IBM z/OS environments. ISPW Deploy, built on the ISPW technology Compuware acquired in January of this year, facilitates faster and more reliable mainframe software deployment.

Posted July 11, 2016

DBmaestro, a provider of DevOps for Database solutions, has improved its open application programming interface (API) for DBmaestro TeamWork, enabling software vendor partners and customers to integrate with DBmaestro TeamWork faster.

Posted July 08, 2016

The next major release of MarkLogic's enterprise NoSQL database platform is expected to be generally available by the end of this year. Gary Bloom, president and CEO of the company, recently reflected on the changing database market and how new features in MarkLogic 9 address evolving requirements for data management in a big data world. "For the first time in years, the industry is going through a generational shift of database technology - and it is a pretty material shift," observed Bloom.

Posted June 30, 2016

The data manager now sits in the center of a revolution swirling about enterprises. In today's up-and-down global economy, opportunities and threats are coming in from a number of directions. Business leaders recognize that the key to success in hyper-competitive markets is the ability to leverage data to draw insights that predict and provide prescriptive action to stay ahead of markets and customer preferences. For that, they need to keep up with the latest solutions and approaches in data management. Here are 12 of the key technologies turning heads—or potentially opening enterprise wallets—in today's data centers.

Posted June 22, 2016

With the increase in data sources, data types, and data management platforms, new obstacles can also appear, creating difficulties in combining data for important insights. During educational presentations on industry trends and technologies, keynotes, discussions, and hands-on workshops at Data Summit 2016, the philosophies and technical approaches that can help organizations be successful at putting their data to work were addressed.

Posted June 17, 2016

Talend is "going all-in" with Amazon Web Services (AWS), now providing its entire product line on AWS cloud. The latest release of Talend Integration Cloud extends the company's ability to allow IT organizations to quickly "spin up and spin down" big data and data integration workloads running on Amazon Redshift or Amazon EMR.

Posted June 10, 2016

Splice Machine has announced that it is releasing its database management system, a dual-engine RDBMS powered by Hadoop and Spark, as an open source platform. The community edition will be free for members of the open source community, allowing them to use as well as modify source code, whereas the enterprise edition will include a set of proprietary tools focused on operational features that enable DBAs and DevOps teams to maintain, tune, and keep the platform secure while it's live.

Posted June 10, 2016

Alteryx, Inc., a provider of self-service data analytics, is expanding its self-service analytics capabilities for analysts using the Salesforce platform. Alteryx is improving its integration with Salesforce Wave Analytics as well as updating read / write capabilities across the Salesforce Customer Success Platform.

Posted June 10, 2016

Cloudera is collaborating with Microsoft to build a new open source platform that will reduce the burden on application developers leveraging Spark. The two entities, together with other open source contributors, have built a new open source Apache licensed REST-based Spark Service, called Livy, which is still in early alpha development.

Posted June 09, 2016

Data Summit 2016 in New York City drew IT managers, data architects, application developers, data analysts, project managers, and business managers. Analytics, search, machine learning, and IoT were some of the key topics of discussion in educational presentations on industry trends and technologies, keynotes, and hands-on workshops.

Posted June 08, 2016

Emerging and newer vendors can offer fresh, innovative ways of dealing with data management and analytics challenges. Here, DBTA looks at the 10 companies whose approaches we think are worth watching.

Posted June 06, 2016

The IT landscape is always shifting and being contoured by external market forces and internal industry initiatives. Against this changing backdrop, each year, DBTA presents a list of 100 companies that matter in data, compelling us to pause and reflect on the market changes taking place.

Posted June 06, 2016

In a new book, titled Next Generation Databases: NoSQL, NewSQL and Big Data, Guy Harrison explores and contrasts both new and established database technologies. Harrison, who leads the team at Dell that develops the Toad, Spotlight, and SharePlex product families, wrote the book to address the gap he sees in the conversation about the latest generation of databases.

Posted June 03, 2016

Dynatrace, a digital performance software company, is teaming up with Pivotal, to deploy its application monitoring solutions for the Pivotal Cloud Foundry (PCF) platform. The integration of Dynatrace with Pivotal Cloud Foundry will enable companies to take advantage of this acceleration by collecting analytics for applications running on PCF, allowing them to detect and act on performance shortcomings and optimize end-to-end transaction latencies.

Posted May 26, 2016

COLLABORATE, the annual conference presented each year by the OAUG, IOUG and Quest, provides the opportunity to reflect on key changes in the Oracle ecosystem and allows the users groups to engage with their constituents about the areas of greatest importance. With the COLLABORATE 16 conference now behind her, Dr. Patricia Dues, the new president of the OAUG, talked with DBTA about what OAUG members are concerned with now and how the OAUG is helping them address emerging challenges.

Posted May 25, 2016

Utilizing data lakes are an alluring option for users with an enormous amount of information, yet questions remain regarding data accuracy, security, and relevancy. Three experts in the big data space, including Anne Buff, business solutions manager for SAS best practices at the SAS Institute, Abhik Roy, database solution engineer at Experion, and Tassos Sarbanes, data architect at Credit Suisse, participated in a roundtable discussion at Data Summit 2016 that focuses on these questions and more regarding data lakes.

Posted May 25, 2016

With newer and newer big data sources exploding onto the scene, traditional data warehouses are being challenged. Satya Bhamidipati, director of business development of big data and advanced analytics at Oracle, discussed data mining and advanced analytics techniques that will enable the monetization of data during a session at Data Summit 2016.

Posted May 25, 2016

Data Summit 2016 kicked off at the New York Hilton Midtown earlier this month with keynote presentations by Ben Wellington, the creator of I Quant NY, and Nicholas Chandra, vice president of Cloud Customer Success at Oracle.

Posted May 25, 2016

Companies are facing a growing problem: Data is everywhere, clogging up systems and preventing enterprises from gaining meaningful insights. Data virtualization is a way to reduce data proliferation and ensure that all consumers are working from a single source.

Posted May 23, 2016

Redmonk's annual programming language rankings - based on GitHub and StackOverflow traffic - were recently released and to no one's surprise, JavaScript was ranked as the most popular programming language.

Posted May 18, 2016

While the big data industry has lacked a consistent and well-understood definition of the data lake since its entry into the hype cycle, clear use cases and best practices are now emerging.

Posted May 18, 2016

There are many ways to combine structured with unstructured data explained Jana Mikovska, senior consultant as Raytion, and Sebastian Klatt, vice president of business development at Raytion. Their presentation at Data Summit 2016 focused on approaches and advantages of combining the two to uncover knowledge buried in unstructured information.

Posted May 16, 2016

What type of email garners the most attention? How can enterprises hook more customers and be in the know? Matt Laudato, senior manager for Big Data Analytics at Constant Contact, addressed these questions and more during Data Summit 2016, explaining how to use big data analytics to optimize email marketing campaigns.

Posted May 12, 2016

As enterprises search for ways to support modern data applications and keep up with the pace of the revolving door of new technologies and solutions, bottlenecks become more frequent and put a stop to application development.

Posted May 12, 2016

Ensuring data is governed properly is a hot topic as more tools and capabilities to analyze and gain insights become available. At the same time, data discovery is becoming more imperative as analysts must be able to move through the process with as little friction as possible.

Posted May 11, 2016

At the center of the new big data movement is the Hadoop framework, which provides an efficient file system and related ecosystem of solutions to store and analyze big datasets. The Hadoop ecosystem was addressed from two points of view in a session at Data Summit 2016. James Casaletto, principal solutions architect, Professional Services at MapR, presented a talk titled "Harnessing the Hadoop Ecosystem," and Tassos Sarbanes, mathematician / data scientist, Investment Banking at Credit Suisse, covered the advantages of HBase in a talk titled "HBase Data Model - The Ultimate Model on Hadoop."

Posted May 10, 2016

IT and businesses don't always see eye to eye when it comes to overall goals within an enterprise. To address this glaring issue, Anne Buff, business solutions manager and thought leader for SAS Best Practices, a thought leadership organization at SAS Institute, discussed aligning data strategy goals at Data Summit 2016.

Posted May 10, 2016

The pace of technology is moving faster than ever and more enterprises are struggling with how to keep up to date with their data architecture. John O'Brien, principal analyst and CEO, at Radiant Advisors, discussed how to design and implement data architecture for the ever evolving big data world during Data Summit 2016.

Posted May 10, 2016

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