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The Multi-Faceted Role of Advanced Analytics in Digital Transformation

AI, machine learning, and predictive analytics are used synonymously by even the most data-intensive organizations, but there are subtle, yet important, differences between them. Machine learning is a type of AI that enables machines to process data and learn on their own, without constant human supervision. Predictive analytics uses collected data to predict future outcomes based on historical data. Read More

DBTA 100 2019 - The Companies That Matter Most in Data

The stakes for expert data management continue to escalate. Data volumes are expanding rapidly and it is well-understood today that companies that harness the value of this precious commodity will be the winners. With a growing appreciation for data's value, spending on data management and analytics products and services is also on the rise. IDC forecasts revenues for big data and business analytics solutions will reach $189.1 billion in 2019 with double-digit annual growth projected through 2022, according to its "Worldwide Semiannual Big Data and Analytics Spending Guide." Read More

Sponsored Content: Leveraging Updated Cyberspace Policy and Strategy to Ensure National Security at Defense Strategies Institute’s Cyber Operations for National Defense Symposium

Defense Strategies Institute is proud to announce the 6th annual Cyber Operations for National Defense Symposium occurring on September 19-20, 2019 at the Mary M. Gates Learning Center in Alexandria, VA. This year's summit is designed to bring together senior leaders in cyber security, government agencies and solution providers to focus on the theme "Achieving and Maintaining US Superiority in Cyberspace". Read More

Real Time Begins to Dominate Data-Driven Agendas

IT executives and their business counterparts understand the importance of a strong data strategy and its value to their businesses, and most are starting to get the key pieces in place to drive transformation through next-generation technologies and processes. One in four enterprises now regards real-time data as critical to their ongoing operations—and another one in four is actively preparing to introduce real-time data capabilities into their infrastructures, according to a new Unisphere Research survey. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • Database Elaborations: The Data Virtualization Blues Data virtualization enables the ability to have one or more data stores that break the bank processing-wise, because they can physically exist once but logically exist in multiple transformed structures. Occasionally, IT managers get the idea that data virtualization is a more generic answer, presuming that if it works for the big data, it can work for all data.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • DBA Corner: Db2—The AI Database … and more! The latest release of Db2, version 11.5, unleashed on the world in June 2019, is being marketed by IBM as "The AI Database." AI promises to be one of the biggest technological game-changers of this century as it enables computing devices and systems to take on more activities that heretofore had to rely on a human. But, what does IBM mean by an AI database?
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

  • SQL Server Drill Down: What’s New in the Microsoft Data Platform, Build 2019 Edition Microsoft directly hosts a handful of big conferences every year, with the developer-oriented Build conference and infrastructure-oriented Ignite being to two that I pay the most attention to. The Microsoft Build 2019 conference just wrapped up and we have a couple important new announcements for the those of us working with the Microsoft Data Platform.
Recent articles by Kevin Kline
Guy Harrison

MongoDB Matters

Guy Harrison

Recent articles by Guy Harrison
Rob Mandeville

Next-Gen Data Management

Rob Mandeville

Recent articles by Rob Mandeville

Trends and Applications