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Tag: data lakes

AtScale Revs ‘Universal Layer’ to Keep Data ‘Big’

Keeping the "big" in big data is the mission of a four-year-old startup launched by Hadoop and business intelligence veterans with the aim of bridging the gap between users, their favorite tools and underlying Hadoop dat Read more…

Datameer’s Tool Seeks to Boost Data Lake Adoption

As big data set keeps getting bigger, vendors are pitching different approaches for exploring it faster and at scale with the goal of delivering real-time analytics. Among the frameworks being unveiled at this week's Read more…

Why Big Data and Data Scientists Are Overrated

What does it take to get value out of data? Many organizations assume that you need a big collection of data and a highly skilled data scientist to spin all those 1s and 0s into dollar signs. In reality, companies need n Read more…

Survey: Big Data Goes Mainstream

Financial services firms remain the biggest users of big data technologies in the most recent survey of adoption rates for Fortune 1000 companies. However, the annual survey by management consultant NewVantage Partner Read more…

One Deceptively Simple Secret for Data Lake Success

Gartner turned heads last year when it declared that the majority of data lake projects would end in failure. As a self-avowed "old dog" of data warehousing, EMC's Bill Schmarzo vehemently agrees with that assessment, bu Read more…

How Spark Democratizes Analytic Value from Hadoop Lakes

So you've installed Hadoop and built a data lake to house all the bits and bytes that your organization previously discarded. So now what? If you follow the advice from industry experts, the next step on your analytics j Read more…

Realizing the Promise of Data Lakes

Like their real life counterparts, data lakes are subject to pollution, flooding and a host of other ills. But they are also becoming indispensable to enterprises that wish to take advantage of the vast quantities of raw Read more…

Plugging Leaks in Big Data Lakes

The big data lake phenomenon is in full swing at the moment, with Hadoop playing a central role in the storage and processing of massive amounts of data. But without certain processes in place, a data lake will not stand Read more…

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