To satisfy the increasing demand for a unified platform for big data analytics and deep learning, Intel recently released BigDL. It’s an open source, distributed, deep learning framework for Apache ...
With interest in the open source Apache Spark framework for running Big Data applications in real time growing rapidly, IBM this week made it clear that the Apache Spark framework is now a ...
Microsoft is upping its commitment to the open-source Apache Spark big-data processing engine. At this week's Spark Summit in San Francisco, Microsoft officials will be talking up Microsoft's support ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...
Databricks Inc., a commercial champion of the open source Apache Spark Big Data analytics project founded by the technology's creators, introduced a new free community edition of its Spark-based data ...
The AMPLab this week announced the release of KeystoneML, a framework for building and deploying large-scale machine-learning pipelines within Apache Spark. While the software is still in alpha stage, ...
.NET for Apache Spark 1.0 provides high-performance .NET APIs to Apache Spark including Spark SQL, Spark Streaming, and MLlib Microsoft and the .NET Foundation have released version 1.0 of .NET for ...
Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...
Traditional relational databases have been highly effective at handling large sets of structured data. That’s because structured data conforms nicely to a fixed schema model of neat columns and rows ...
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