Tuesday, November 24, 2015

Spark speeds up SQL on Hadoop in Splice Machine 2.0

We don't need a million new Spark jockeys.

4 no-bull takeaways about Google's machine learning project.

InfoWorld Big Data Report
November 23, 2015
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Spark speeds up SQL on Hadoop in Splice Machine 2.0

Apache Spark is being used to enhance yet another third-party data processing product READ MORE

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Issue highlights

1. We don't need a million new Spark jockeys

2. 4 no-bull takeaways about Google's machine learning project

3. IDC says big data spending to hit $48.6 billion in 2019

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Cost-Benefit Analysis: Comparing the IBM PureData

The three year TCO (IT Costs + Business Costs) analysis presented in this paper compares IBM PureData for Analytics and a Hadoop Cluster (Cloudera) for four configurations - small, medium, large and enterprise. Learn More

We don't need a million new Spark jockeys

Spark may have taken big data by storm, but IBM's promise to train a million people on Spark goes too far, mainly because the technology is evolving too fast READ MORE

4 no-bull takeaways about Google's machine learning project

TensorFlow, originally designed to support Google's systems at scale, is now available for everyone to use. Here's why it matters READ MORE

IDC says big data spending to hit $48.6 billion in 2019

Research firm predicts the market for big data technology and services will grow by 23.1 percent annually through 2019 READ MORE

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