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Getting Up-to-Speed on DataOps at Data Summit 2019

DataOps has emerged as an agile methodology to improve the speed and accuracy of analytics through new data management practices and processes, from data quality and integration through to model deployment and management. However, DataOps is not yet well-understood, says Mark Marinelli, head of product at Tamr, who will lead the DataOps 101 workshop at Data Summit 2019, on Monday, May 20, from 9 am to 12 noon. Read More

How Machine Learning is Changing the Way We Think

According to David Weinberger, a senior researcher at Harvard's Berkman Klein Center for Internet & Society, machine learning's importance is not only in the benefits its use brings, but also in how it is transforming our understanding of how the world works and our most basic strategies for dealing with the future. At Data Summit 2019 in Boston, Weinberger will consider the implications of machine learning and explore what it means for society and our moral sense of the world. Read More

Michael Stonebraker to Deliver Opening Keynote at Data Summit 2019 in Boston

A.M. Turing Award Laureate and database technology pioneer Michael Stonebraker will deliver the opening keynote at Data Summit 2019. The sixth annual Data Summit conference will be held in Boston, May 21-22, 2019, with pre-conference workshops on May 20. Registration is now open. Read More

Experts Predict Trends for Data Architecture in 2019

From AI and machine learning to data discovery and real-time analytics, creating a strong data architecture strategy is critical to supporting an organization's data-driven goals. DBTA recently held a roundtable webinar with Michael Coburn, product manager, PMM, Percona; Tyler Mitchell, senior product marketing manager, Couchbase; and Max Neunhöffer, senior developer and architect, ArangoDB, who discussed the top trends in modern data architecture for 2019. Read More

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Columnists

Todd Schraml

Database Elaborations

Todd Schraml

  • Database Elaborations: Change Data Capture and Complexity CDC can greatly minimize the amount of data processed; but the cost is that the processes themselves become more complicated and overall storage may be higher. Costs are moved around, the final level of processing becomes focused on the minimal changes, and this minimization is the efficiency to be gained. Moving forward, using the data becomes standardized and ultimately straightforward.
Recent articles by Todd Schraml
Craig S. Mullins

DBA Corner

Craig S. Mullins

  • DBA Corner: The Challenge of Managing the Modern IT Infrastructure It can be challenging for IT architects and executives to keep up with today's modern IT infrastructure. Homogeneous systems, common in the early days of computing, are almost non-existent today in the age of heterogeneous systems. It is de rigueur for Linux, Unix and Windows servers to be deployed throughout a modern IT infrastructure. And for larger shops, add in mainframes, too.
Recent articles by Craig S. Mullins
Kevin Kline

SQL Server Drill Down

Kevin Kline

Recent articles by Kevin Kline
Guy Harrison

MongoDB Matters

Guy Harrison

  • Atlas Powers Increasing MongoDB Growth If you have been wondering whether the tipping point for database-as-a-service (DBaaS) has arrived, it's instructive to look at the success of MongoDB Atlas. 
Recent articles by Guy Harrison
Rob Mandeville

Next-Gen Data Management

Rob Mandeville

Recent articles by Rob Mandeville

Trends and Applications