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 ...

Users can access Spark DataFrame APIs, write Spark SQL, and create user-defined functions UDFs). The .NET for Apache Spark framework is available on the .NET Foundation’s GitHub page or from NuGet.

By leveraging Apache Spark and an optimized implementation of synchronous SGD and all-reduce communication, BigDL can efficiently scale out to perform data analytics at truly big-data scale. Building ...

Microsoft launches Azure Databricks, a new cloud data platform based on Apache Spark by Tom Krazit on November 15, 2017 at 7:00 am Share 52 Tweet Share Reddit Email ...

Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL.

In this video, Beenish Zia from Intel presents: BigDL Open Source Machine Learning Framework for Apache Spark. "BigDL is a distributed deep learning library for Apache Spark*. Using BigDL, you can ...

The shift to a microservices architecture is being done through a project called Spark Connect, which introduced a new protocol, based on gRPC and Apache Arrow, that allows remote connectivity to ...

Apache Spark has emerged as the standard framework for large-scale, distributed, data analytics processing. Apache Spark's popularity comes from the ease-of-use APIs and high-performance big data ...

Reactive programming company Typesafe today released a survey that confirms the high adoption rate of Apache Spark, an open source Big Data processing framework that improves traditional Hadoop-based ...

Hadoop and Spark are both Big Data frameworks–they provide some of the most popular tools used to carry out common Big Data-related tasks. Hadoop, for many years, was the leading open source Big ...