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Streamed data News

  • March 15, 2018 15 Mar'18

    Streaming tool from StreamSets eyes data in motion for GDPR

    StreamSets software for inspecting big data brings governance to data in motion. Such capabilities may find more use as the European Union's GDPR deadline looms.

  • March 01, 2018 01 Mar'18

    What’s all the fuss about in-memory databases for IoT?

    IoT Back to Basics, chapter 4: IoT projects risk failure without careful consideration of data management processes and analytics. Their ultimate goal after all is to glean valuable information ...

  • November 12, 2017 12 Nov'17

    MongoDB 3.6 runs at the 'speed of data'

    MongoDB 3.6 will be generally available in early December. The open source (at its core) general purpose database has some noteable changes (its makers would call them enhancements) including a ...

  • August 01, 2017 01 Aug'17

    Moonwalk software streams data to cloud archives

    The free Starter Edition of Moonwalk's archiving software migrates up to 25 TB of data to repository or clouds as files or objects, as well as supporting AWS, Microsoft Azure and Google clouds.

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  • Information architecture applied to big data streaming, AI

    New technologies challenge data professionals, but taking a step back helps with hurdles. In this interview, consultant William McKnight takes a measured look at data streaming, GDPR and AI. Continue Reading

  • Accelerate Apache Spark to boost big data platforms

    Big data platforms like Apache Spark process massive volumes of data faster than other options. As data volumes grow, enterprises seek ways to speed up Spark. Continue Reading

  • Big data users share their trying but winning analytics war stories

    The challenges encountered in deriving business benefits from big data are huge, but so are the rewards. Hadoop and related technologies are easing those challenges to the point where companies are willing to graduate from experimental to full-blown big data analytics deployments. Still, the march toward that goal can be long and arduous, and not just from a technological and architectural standpoint. Before taking the plunge, big data users, including data scientists, managers and evangelists, are faced with the sometimes monumental task of justifying big data's return on investment to business executives focused on competition, profit margins and allocation of funds. "For a lot of organizations like ours, big data has not yet become a core foundation of running the business," said Beata Puncevic, director of analytics, data engineering and data management at Blue Cross Blue Shield of Michigan. Yet, actionable insights gained from big data analytics can be indispensable in driving revenue, reducing costs and developing new products.

    This handbook on big data analytics examines the trials and tribulations of big data users who are on the front lines, devising and implementing partial and full-blown applications. In the first feature, editor Craig Stedman interviews battle-tested IT and analytics warriors from Blue Cross, Macy's and Progressive Insurance who reveal the business challenges in justifying the worthiness of big data applications. In the second feature, Stedman explains how real-time big data analytics is helping companies like Comcast and eBay to move quickly on massive amounts of incoming information. And in the third feature, reporter Ed Burns spotlights the decisions at Neilsen and Nasdaq to run or not to run big data systems in the cloud.

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