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Costly data breaches are on the rise—2017 was a record-setting year in terms of cybersecurity incidents, with more than 14.5 billion malware-infected emails sent and 1.9 billion data records stolen in the first 6 months of the year.

Posted August 08, 2018

This year is an expansive one for the database ecosystems that have evolved around the major platforms. Artificial intelligence (AI), machine learning, the Internet of Things (IoT), and cloud computing are now mainstream offerings seen within the constellations of database vendors, partners, and integrators.

Posted August 08, 2018

This may seem contradictory at first glance: Fresh data from the database user community finds that data lakes continue to increase within the enterprise space as big data flows get even bigger. Yet, at the same time, enterprises appear to have pulled back on Hadoop implementations.

Posted August 08, 2018

The concepts of Agile methodology and continuous delivery have become popular in software development, yet they are somewhat less mature among DBAs and database developers. Shay Shmeltzer, director of product management for Oracle Cloud Development Tools, discussed how database administrators (DBAs) and SQL developers can take advantage of newer development approaches while also dealing with the unique challenges that exist in the world of database development.

Posted August 08, 2018

The votes have been counted and the results are in. Now, it's time to offer congratulations as Database Trends and Applications magazine unveils the 2018 Readers' Choice Awards winners.

Posted August 08, 2018

Today, there is a wide range of big data technologies helping organizations reap the benefits of the massive data volumes available to their companies. Until recently, most data was generated for a single objective and difficult to repurpose. Much of it even ended up stored on tapes that were rarely if ever accessed. The bottom line is that it was difficult for decision makers to get to all the information they needed. But today, new tools, platforms, and technologies are changing all that.

Posted August 08, 2018

The demand to become a data-driven business with a competitive edge in the digital economy is greater now than ever. BI and analytics is recognized as the cornerstone to success today. As the value of data becomes better appreciated, organizations are deploying  a multi-pronged approach that includes making data access and insights available to a broader swath of users as opposed to it remaining limited to small groups of analysts or executives, offering compelling data visualizations, and making data available more quickly for decision making.

Posted August 08, 2018

As a key component to data integration best practices, change data capture (CDC) is based on the identification, capture, and delivery of the changes made to enterprise data. CDC helps minimize access to both source and target systems. It also supports the ability to keep a record of changes for compliance, and is a key component of many data processes.

Posted August 08, 2018

After many years of relying mainly on relational database management systems in on-premise data centers, organizations are finding viable additional options in the form of cloud computing deployments and newer NoSQL options, a new study finds. Cloud computing options have provided the possibility to host some database-centric applications that typically would be hosted in an on-premises data center.

Posted August 08, 2018

Business agility and reduced cost are leading reasons that companies are adopting cloud technologies and hybrid cloud approaches.  Although security was initially a key obstacle standing in the way, increasingly that concern is dissipating while advantages in agility and cost reduction become leading drivers for the move to the cloud.

Posted August 08, 2018

Whether it is cognitive computing, machine learning, intelligent automation, augmented reality, or artificial intelligence, smart technologies are gaining ground with use cases spanning health services, analytics, customer service, manufacturing, logistics, and a range of other fields.

Posted August 08, 2018

The big focus in analytics today is on access for all, and the ability to not only see what happened in the past but what is going on now or about to take place. A recent survey by Forbes Insights and Dun & Bradstreet of more than 300 senior executives across a broad range of industries confirmed that the goal of many organizations is to develop a data-driven culture, but also finds there is still plenty of work to be done to make that a reality.

Posted August 08, 2018

The data governance market is expected to grow from $1.31 billion in 2018 to $3.53 billion by 2023, increasing by a CAGR of 22%, according to a recent ResearchandMarkets.com report. What is driving that growth? It is a combination of factors, the research shows, including rapidly increasing data volumes, new regulatory and compliance mandates, and the need to enhance strategic risk management and decision making as well as greater business collaboration.

Posted August 08, 2018

Today, data is both the output and the fuel of companies. For many however, the process of becoming a data-driven organization is hindered inflexible systems that were created years and even decades earlier.

Posted August 08, 2018

Top data modeling solutions enable organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive GUI. With the ability to view "any data" from "anywhere" for consistency, clarity and artifact reuse across large-scale data integration, master data management, big data and business intelligence/analytics initiatives, today, data modeling is a critical component to many initiatives.

Posted August 08, 2018

Today, data quality solutions are available in the cloud as software as a service as well as on premise, and support the necessary data integrity for critical systems such as customer relationship management, master data management, data governance initiatives, and database management, as well as for regulatory compliance initiatives—including the E.U.'s new General Data Protection Regulation (GDPR).

Posted August 08, 2018

While the data growth rate, number of database instances, and number of platforms that each DBA must support has not changed radically in the last few years, the database infrastructure has become more complicated. Two key factors are at play in the increasing complexity.

Posted August 08, 2018

Cyberattacks are becoming the number-one risk to businesses, brands, operations, and financials, according to recent "SonicWall Cyber Threat Report" (March 2018).  There were 9.32 billion malware attacks in total in 2017, representing an 18.4% increase over 2016. On the other hand, Verizon's Data Breach Investigations Report (DBIR) shows that more a quarter of the time, data breaches across the world originated from an organization's "insiders." But the report notes, malicious employees looking aren't the only insider threat you face. Errors were at the heart of almost one in five (17%) breaches.

Posted August 08, 2018

Storage solutions provide critical services for backup and archiving, content storage and distribution, big data analytics, and disaster recovery. Increasingly also there are smarter storage solutions, enabling greater efficiency and cost reduction through data compression, information lifecycle management, and tiered storage strategies.

Posted August 08, 2018

With data virtualization organizations can gain the ability to allow the business and IT sides of organizations work closer together in a much more agile fashion, reducing complexity and boosting productivity. Data Virtualization helps customers find and analyze the data they need in hours or days, rather than months, so that they can quickly discover insights and take insight-driven action, said Mark Palmer, senior vice president of analytics, TIBCO.

Posted August 08, 2018

Today's data visualization tools go beyond the standard charts and graphs used in Excel spreadsheets, displaying data in more sophisticated ways such as infographics, dials and gauges, geographic maps, sparklines, heat maps, and detailed bar, pie and fever charts. The images may include interactive capabilities, enabling users to manipulate them or drill into the data for querying and analysis.

Posted August 08, 2018

Companies are increasingly looking for the right database for the data storage need at hand. That might mean NoSQL, NewSQL, in-memory databases, and cloud databases—also known as database as a service—approaches. 

Posted August 08, 2018

Today's database administration solutions help to improve DBA productivity while simplifying repetitive administrative tasks, helping to locate and alleviate performance bottlenecks, and optimizing code. Businesses are utlizing highly complex, data environments with multiple data platforms across physical data centers and the cloud, managing systems and processes manually is no longer sufficient. What is needed is the ability to manage and monitor business-critical assets with automated precision.

Posted August 08, 2018

Database downtime can inflict a fatal wound on the life of a business and having a trusted backup solution that can ensure that databases can be back up and running quickly in the event of an outage is critical. With long downtimes simply unacceptable, organizations seek solutions with capabilities such as the ability to manage backups seamlessly, manage and monitor backups, ensure data integrity, scale efficiently restore quickly to any point in time, and provide security features to stay in compliance with local geographic and industry mandates.

Posted August 08, 2018

Providing an integrated environment that simplifies software development, these solutions are valued for their ability to improve database development with an end-to-end approach that helps developers stay on top of the latest technology innovations and build modern applications. For database development teams, maximizing competence, performance, adaptability, and readiness, will help simplify development and allow automation to achieve repeatable processes, all while avoiding potential risks that create downtime.

Posted August 08, 2018

A brand new study fielded among Database Trends and Applications readers and members of the Independent Oracle Users Group reveals that database professionals are being tasked with managing more database instances and platforms, and in greater sizes, than ever before - both on premises and in the cloud. As a result, it's no surprise that the biggest priorities for database teams this year are improving database performance, database upgrades, and data integration.

Posted August 08, 2018

After more than 10 years, there is no technology more aligned with advent of big data than Hadoop. The Apache Hadoop framework allows for the distributed processing of large datasets across compute clusters, enabling scale up from single commodity servers to thousands of machines for local computing and storage. Designed to detect and handle failures at the application layer, the framework supports high availability.

Posted August 08, 2018

In-memory technology has become a relied-upon part of the data world, now available through most major database vendors. In-memory can process workloads up to 100 times faster than disk-to-memory configurations, which enables business at the speed of thought.

Posted August 08, 2018

The Internet of things (IoT) is the inter-networking of physical devices, vehicles (also referred to as "connected devices" and "smart devices"), buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data.

Posted August 08, 2018

MultiValue database technology continues to boost a strong following of loyal supporters. This NoSQL database technology is found in many industry verticals, including retail, travel industry, oil & gas, healthcare, government, banking, and education. Highly customized, mission-critical applications have been built on MultiValue database technology, which is sometimes called the fifth NoSQL database technology. The MultiValue database dates back to the mid-1960s, with Don Nelson and Dick Pick widely credited as the founding fathers of the technology. Also referred to as Pick or MultiDimensional, a key advantage of MultiValue, is the database structure's use of attributes that can have multiple values, rather than one single value as with relational technology.

Posted August 08, 2018

Addressing the need to store and manage increasingly large amounts of data that does not fit neatly in rows and columns, NoSQL databases can run on commodity hardware, support the unstructured, non-relational data flowing into organizations from the proliferation of new sources, and are available in a variety of structures that open up new types of data sources, providing ways to tap into the institutional knowledge locked in PCs and departmental silos.

Posted August 08, 2018

A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user and application programming interface (API) of a relational database is the Structured Query Language (SQL). SQL statements are used both for interactive queries for information from a relational database and for gathering data for reports.

Posted August 08, 2018

Still a relatively new solution coming into its own streaming platforms allow individuals to see data in real-time batches. Streaming solutions can help businesses analyze data in motion, simplify the development of applications, and extend the value of existing systems by integrating with already implemented applications along with supporting both structured and unstructured data.

Posted August 08, 2018

Expanding its range of services, in 2017, Dell Boomi acquired ManyWho, a provider of a unified cloud and low-code development platform that helps simplify workflow automation. Recently, Steve Wood, chief product officer at Boomi, talked about what's ahead for Boomi, what it means to be a connected business in the new hybrid cloud era, and the importance of low-code development.

Posted July 02, 2018

A distributed cloud database is a database in which operational data is spread across different physical locations—for example, across different data centers, across hybrid clouds (such as private and/or public clouds), different public cloud regions of a public cloud, or even different public clouds.

Posted July 02, 2018

"ECM is dead," proclaimed Michael Woodbridge in a Gartner blog post earlier this year. And, the fact is, today's legacy enterprise content management (ECM) systems and other traditional approaches to managing information are no longer feasible in a world where 2.5 quintillion bytes of data are created every day—resulting in general confusion when itcomes to document management.

Posted July 02, 2018

Today's business landscape is more dynamic than ever. Stringent regulations, new revenue models, and high customer expectations are forcing organizations to evolve or face being overrun by more nimble competitors. Chief data officers (CDOs) and chief information officers (CIOs) of established businesses are looking to digital transformation as a key initiative to drive organizational change.

Posted July 02, 2018

You are moving to the cloud. That means your data is moving to the cloud, too. But, are you prepared for the challenges that you will face when moving your databases to the cloud?

Posted July 02, 2018

The hype around blockchain technology as it relates to cryptocurrencies such as bitcoin is reaching an all-time high, but enterprise organizations are taking a longer-term, more measured approach.

Posted July 02, 2018

There's a new generation of technologies reshaping data management as we know it. To explore some of the game-changing technologies or approaches that are having the most profound impact on today's enterprises, DBTA asked industry experts and leaders to cite what they see as having the most positive impact. The following are eight areas effecting the most change.

Posted July 02, 2018

A shifting environment—from batch-oriented databases housed in server rooms to digital, software-defined data centers powering analytics-driven business decisions—has led to a dramatic expansion of the DBA or data management role.

Posted July 02, 2018

Innovative vendors are helping to point the way forward with technologies and services to take advantage of the wealth of data that is pouring into companies. This sixth DBTA 100 list spans a wide variety of companies that are each addressing the evolving demands for hardware, software, and services. Some are long-standing companies with well-established offerings that have evolved over time, while others are much newer to the data scene.

Posted June 14, 2018

At Data Summit 2018, Jeff Fried, director of product management at InterSystems, considered the value of polyglot persistence versus a multi-model database approach. 

Posted June 01, 2018

NVMe quickly gained a foothold in the client space as the storage interface of choice for higher end desktops, laptops, and even phones. In the enterprise space NVMe has been used as a direct-attached storage (DAS) option, where storage is accessed through a PCIe interface on the CPU within the server. The advent of NVMe over Fabrics (NVMe-oF) promises to expand the utility of NVMe in the datacenter beyond just a DAS replacement, which will push the demand for flash storage even higher.

Posted June 01, 2018

The unprecedented volumes of data now pouring forth from virtualization technologies and cloud-based infrastructure have taxed traditional storage architectures beyond their limits. Organizations want to store their data in an efficient and affordable way that is also flexible. Software-defined storage (SDS) meets these criteria and, therefore, is enjoying a surge in adoption.

Posted June 01, 2018

It's spring-cleaning season, meaning many diligent homeowners are busy trying to organize their closets and homes in preparation for the spring and summer. Organizations, both small and large, also must keep up with cleaning their virtual dust bunnies on a regular basis, just as one would do within their own home.

Posted June 01, 2018

Since the EU's General Data Protection Regulation (GDPR) took effect in May 2018, organizations have  hopefully already emerged from the strategy phase and are now well into implementation. However, the nuances of GDPR are something most of us are still trying to comprehend—and we probably won't truly understand all of it for a while. In the hustle to reach compliance, errors will likely have been made. In the process of GDPR planning and execution, there are four key areas that companies need to be wary of. If not managed carefully, they can slow down the process of achieving, and maintaining, compliance goals.

Posted June 01, 2018

As the value and volume of data continues to rise, the need to effectively assess and communicate data-related risks has never been greater. Business executives need a focused set of metrics that enable fast and effective decisions. IT and security pros often lack the right metrics, information, and approach needed to embed themselves into business conversations and positively affect data security practices.

Posted May 08, 2018

When it comes to capturing and analyzing data, IT departments have more choices today than ever before. And choice is a good thing. However, in order to pick the right tool for the job, enterprises need to fully understand the business requirements as well as choices. DBTA recently held a webinar with Brian Bulkowski, CTO and founder of Aerospike, and Jean-Pierre Dijcks, master product manager, big data, Oracle, who discussed the key differences between Hadoop, NoSQL,  and RDBMS and how to choose between them.

Posted May 08, 2018

Neural networks and deep learning are frequently recognized as the key to futuristic innovations like facial recognition, with consumers paying up for the novelty of using their visage to unlock their phones, and police squads partnering with AI startups to catch criminals. But the use cases for neural nets extend well beyond those flashy scenarios, and innovations in hardware are enhancing accessibility, signaling that it's time for more companies to find appropriate business cases for their industry.

Posted May 08, 2018

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