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 ...
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 ...
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 ...
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 ...
Databricks Inc. today took some serious steps toward boosting the value proposition of the popular open-source Apache Spark big data processing engine, which is facing potent new competition. The San ...
Two years in the making, Apache Spark 2.0 will officially debut in a few weeks from Databricks Inc., which just released a technical preview so Big Data developers could get their hands on the "shiny ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results