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Apache Spark is a lightning-fast cluster computing designed for fast computation. It was built on top of Hadoop MapReduce and it extends the MapReduce model to efficiently use more types of computations which includes Interactive Queries and Stream Processing. This is a brief tutorial that explains the basics of Spark Core programming.
This tutorial has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Spark Framework and become a Spark Developer. In addition, it would be useful for Analytics Professionals and ETL developers as well.
Before you start proceeding with this tutorial, we assume that you have prior exposure to Scala programming, database concepts, and any of the Linux operating system flavors.
最新版本1.5的更新日志
Last updated on 2018年05月17日
Apache Spark is a lightning-fast cluster computing designed for fast computation. It was built on top of Hadoop MapReduce and it extends the MapReduce model to efficiently use more types of computations which includes Interactive Queries and Stream Processing. This is a brief tutorial that explains the basics of Spark Core programming.
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Apache Spark Tutorial历史版本
Apache Spark Tutorial 1.5
9.0 MB2018年05月17日
Apache Spark Tutorial 1.2
9.0 MB2018年01月16日
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