Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

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Apache Spark™’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end users, and ...

Recent surveys and forecasts of technology adoption have consistently suggested that Apache Spark is being embraced at a rate that outperforms other big data frameworks Initially open-sourced in 2012 ...

The nice thing about open source projects and standards is that there are so many of them to choose from. And on January 10, the Apache community welcomed Beam as its "="" project"=""> (getting top ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook, ...

Apache Spark is one of the most popular open source projects in the world, and has lowered the barrier of entry for processing and analyzing data at scale. We asked some of the leaders in the big data ...

Typesafe Inc., the company co-founded by Martin Odersky, creator of the Scala programming language, has announced full commercial support for the Apache Spark Big data processing engine. Having ...