Hadoop
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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
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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
What’s new in Apache Spark? Low-latency streaming and Kubernetes
Continuous processing and native Kubernetes support in Apache Spark 2.3 spell the end for micro-batching and Hadoop
Dawn of intelligent applications
The future is intelligent applications. Learn how companies are shifting from big data to intelligent application approaches
7 technology trends to watch in 2018
As we say goodbye to 2017, here’s my take on important tech trends worth keeping your eye on in the year ahead
What is Apache Spark? The big data analytics platform explained
Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning
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