At Build 2015, developers learned about new options for big data: a data warehouse service; a way to run elastic databases; and a data lake where customers can store large amounts of data. The ...

The cloud market is evolving quickly, with an ever-changing set of big data services. While this makes cloud vendor comparisons difficult, it's worth the attempt, because the offerings from the top ...

Microsoft has made two significant moves behind its Azure big data strategy, including a new, company-backed distribution of the open source Hadoop framework. Hadoop, along with the Kafka messaging ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

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The Strata + Hadoop World conference has brought a flurry of big-data announcements that hint that at least some enterprises are ready to tackle bigger issues around big data than storage, including ...

Microsoft Corp.’s Azure cloud is getting boosted with an array of data-focused updates, with expanded capabilities for its Intelligent Data Platform and new functions in its main database offerings ...

The Ambari Admin screen Versions tab, for an HDInsight cluster based on Microsoft’s own Hadoop distribution. Many were wondering whether Microsoft would somehow adopt the CDP runtime, or if it would ...

Microsoft is making a slew of Azure data announcements today, on both the data lake and data warehouse fronts. First, Microsoft’s Azure Data Explorer (ADX) product is being released into general ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Three high-risk vulnerabilities have been uncovered in Microsoft Azure's big-data analytics service HDInsight. Four and a half months after disclosing eight cross-site scripting (XSS) vulnerabilities ...

One of the big issues facing anyone building a data-driven devops practice is, quite simply, the scale of the data you’re collecting. Logs from millions of users quickly add up, and the same is true ...