July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Apache Spark as a processing framework
Apache Spark is a large-scale data processing framework. It is a fast and general-purpose engine. It is one of the fastest processing frameworks. Spark can perform in-memory data processing, as well as on-disk data processing.
Spark's important features are as follows:
- Speed: Apache Spark can run programs up to 100 times faster than Hadoop MapReduce in-memory or 10 times faster on-disk
- Ease of use: There are various APIs available for Scala, Java, Spark, and R to develop your application
- Generality: Spark provides features of Combine SQL, streaming, and complex analytics
- Run everywhere: Spark can run on Hadoop, Mesos, standalone, or in the cloud. You can access diverse data sources by including HDFS, ...
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