Hadoop
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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
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
Hadoop runs out of gas
As big data customers flee complexity and embrace the cloud, the Hadoop vendors are sputtering
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
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
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
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
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
Deep Dive
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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