Cloud integration

Real-time analytics News

  • September 28, 2017 28 Sep'17

    MapR-DB uses NoSQL to drive real-time analytics

    The Strata conference in New York saw big data platform vendor MapR Technologies update MapR-DB, its NoSQL database engine, to better perform in real-time analytics applications.

  • September 25, 2017 25 Sep'17

    Splunk .conf 2017: knowing me machine data, knowing you – aha!

    Machine data operational intelligence platform specialist Splunk has gone all Alan Partridge. The company known for its down-at-the-data-layer technologies and its tongue-in-cheek t-shirts now says ...

  • September 06, 2017 06 Sep'17

    Neurala launches Brains4Bots SDK for developers

    Neurala, Inc. is known for its work developing its own Neurala Brain. This is a piece of deep learning neural network software that makes smart products like robots, drones, toys, self-driving ...

  • August 24, 2017 24 Aug'17

    Zerto replication upgrade features faster AWS recovery

    Zerto Virtual Replication 5.5 increases disaster recovery capabilities in AWS and Microsoft Azure. The BCDR vendor also introduces a real-time analytics platform.

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  • Combine cloud and IoT edge analytics for embedded analytics

    Find out why enterprise architects are exploring new strategies that distribute analytics closer to IoT devices. Continue Reading

  • Real-time big data analytics brings change to data management

    Real-time big data analytics calls for changes in the way data systems are built. Some of the pressing challenges are discussed in this edition of the Talking Data podcast. 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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