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How to do real-time analytics across historical and live data

5 in-memory computing platform capabilities that support analytical processing of both data lake data and operational streams

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HPE plus MapR: Too much Hadoop, not enough cloud

MapR gives HPE superior big data analytics technology and expertise, but not what HPE needs most

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Hadoop runs out of gas

As big data customers flee complexity and embrace the cloud, the Hadoop vendors are sputtering

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LinkedIn open-sources a tool to run TensorFlow on Hadoop

The Tony project uses Hadoop's native scheduler to run TensorFlow jobs, making fault tolerance and GPU usage easier

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video

Matei Zaharia, creator of the Apache Spark project, on the big data framework | True Technologist Ep 2

In this episode of True Technologist, host Eric Knorr talks with Matei Zaharia, chief technologist at Databricks and an assistant professor of computer science at Stanford, about the Apache Spark and Apache Mesos projects

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3 big data platforms look beyond Hadoop

Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning

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How Arcadia Data brings self-service BI to the data lake

The data lake is a new approach to data management that requires a new approach to analytics

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21 hot programming trends—and 21 going cold

Hot or not? From the web to the motherboard to the training ground, get the scoop on what’s in and what’s out in app dev

Download the Hadoop Deep Dive

Businesses are using Hadoop across low-cost hardware clusters to find meaningful patterns in unstructured data. In this in-depth PDF, InfoWorld explains how Hadoop works and how you can reap its benefits

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