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The Year Ahead: Data Will Drive the Enterprise in 2019

The year just ending has been an interesting one for data managers. Artificial intelligence (AI) and machine learning took center stage, which also meant an increasingly glaring spotlight on data sourcing, management, and viability. The continued rise of the Internet of Things (IoT) also meant no letting up on demands for data environments to deliver requirements fast and furiously. The year ahead will bring more of the same—as well as a continuation of the transformation of information management. Read More

Trend-Setting Products in Data and Information Management for 2019

This year, DBTA's list of trend-setting products in data and information management includes newer approaches leveraging artificial intelligence, machine learning, and automation as well as products in more established categories such as relational and NoSQL database management, MultiValue, performance management, analytics, and data governance. Read More

Data Summit 2019 Call for Speakers is OPEN

The call for speakers is officially open for the sixth annual Data Summit conference, to be held in Boston, May 21-22, 2019. Whether you are an IT practitioner or a business stakeholder, we encourage you to consider participating in this exciting conference. The deadline for submitting proposals is December 14, 2018. Read More

Driving Digital Transformation Using Secondary Storage

In this new world where data is the coin of the realm, the winners will be enterprises who can quickly and effectively harness data—the right data—to reduce risk, improve business outcomes, and create new value for their customers, employees and other stakeholders. As they work to realize this goal, enterprises are increasingly finding that activating copy, backup, archived and other data located on secondary storage can be just as, if not more, useful for driving digital transformation as the production and original data located on their primary storage. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • Beware the Frankenmart! Data mart builders must understand what they are working to accomplish. The DBMS is not going to magically guide them to a solution. The builder is responsible for knowing how dimensional techniques work, why they work, and what options may exist within the dimensional framework.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • Managing Database Performance Managing the performance of database systems and applications is a significant job responsibility for DBAs. From a database perspective, there are three basic performance components that must be performed.
Recent articles by Craig S. Mullins
Guy Harrison

Emerging Technologies

Guy Harrison

  • Emerging Technologies: Web Services Move Forward With GraphQL GraphQL has emerged as the favorite alternative to REST for modern web API design. GraphQL was first used internally at Facebook before being open sourced in 2015. GraphQL is described as a data query and manipulation language which at first glance might suggest more in common with SQL than with REST. However, in reality both GraphQL and REST are applicable across a very similar range of web API scenarios.
Recent articles by Guy Harrison
Rob Mandeville

Next-Gen Data Management

Rob Mandeville

  • Anomalies—Predicting the Past Using anomaly detection to surface deviations from the norm can be a powerful tool when automating monitoring for just about any statistical value. However, it will not uncover the bad behavior that may be happening all the time and is only part of the story. Combining data from anomaly detection plus data that can surface good behavior versus bad behavior when it occurs as the norm starts to get into more intelligent analysis. The hype is legit. Anomaly detection can be a very powerful tool—just not in complete isolation.
Recent articles by Rob Mandeville

Trends and Applications