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 ...

Spark Summit 2016 opened today at the Hilton San Francisco Union Square with Matei Zaharia, chief technology officer at Databricks, Inc. and creator of Spark, revealing the latest version of Spark 2.0 ...

Thanks to an impressive grab bag of improvements in version 2.0, Spark's quasi-streaming solution has become more powerful and easier to manage Flink and Dataflow bring new innovations and target some ...

Better streaming analytics, a hot topic in Big Data development right now, is the highlight of more than 1,200 improvements and bug fixes in the new Apache Spark 2.1. Databricks Inc., the commercial ...

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The Spark streaming analytics engine is one of the most popular open source tools for weaving big data into modern applications architectures with over 800 contributors from 200 organizations. It ...

Spark has generated huge excitement in the big data community. It has provided the path for making the speed or velocity layer of big data reality, simplified some of the gotchas of MapReduce, and ...

Despite challenges including a new location and a nasty Nor'easter that put a crimp on travel, Spark Summit East managed to draw more than 1,500 attendees to its February 7-9 run at the John B. Hynes ...

In Spark 2.0, DataFrames and Datasets were extended to handle real time streaming data. This not only provides a single programming abstraction for batch and streaming data, it also brings support for ...