Machine learning is about making data-driven decisions or predictions about the future by building models from existing data. Machine Learning is getting lot of attention in the recent years because of its […]
In 2015, leading-edge organizations began investing in Apache Hadoop and saw real business use cases deliver positive results. This early traction inspired other organizations to experiment with Hadoop, and we are now […]
Businesses have been buzzing about what Apache Spark could bring to their respective industries. Perhaps this shouldn’t be a total surprise considering the open source nature of Spark, the most popular of […]
How the relationship between Spark and Hadoop will play out is an open question. We asked IT pros whether they see Spark more as a Hadoop companion or competitor. As the Hadoop […]
Source: mapr.com Link: Spark in a Hadoop-based Big Data Architecture
If you follow Big Data, you would have to be living under a rock to have missed the Spark juggernaut. The extensive use of in-memory processing has helped machine learning go mainstream, […]
Apache Spark is the most popular big data project at the moment, with thousands of contributors cranking out code on a weekly basis. Keeping up with Spark releases is hard, and it’s […]
They’re sometimes viewed as competitors in the big-data space, but the growing consensus is that they’re better together Listen in on any conversation about big data, and you’ll probably hear mention of […]
In our big data roundup we’ve got updates on Apache Spark and its ecosystem, a reality check on the practical use of artificial intelligence today and more. You might expect a slow […]
The past few years have been filled with a number of prognostications related to the future of big data and the various technologies that have emerged to tackle the challenges posed by […]
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