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25Page: Spark SQL • Spark module for structured data processing • The most popular Spark Module in the Ecosystem • It is highly recommended to use this the DataFrames or Dataset API because of the performance benefits • Runs SQL/HiveQL Queries, optionally alongside or replacing existing Hive deployments • Use SQLContext to perform operations • Run SQL Queries • Use the DataFrame API • Use the Dataset API • White Paper • http://people.csail.mit.edu/matei/papers/2015/sigmod

Apache Spark is an open source big data processing framework built around speed, ease of use, and sophisticated analytics. In this article, Srini Penchikala talks about how Apache Spark framework • Spark is a general-purpose big data platform. • Runs in standalone mode, on YARN, EC2, and Mesos, also on Hadoop v1 with SIMR.

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As against a common belief, Spark is not a modified version of Hadoopand is not, really, dependent on Hadoop because it has its own cluster management. Hadoop is just one of the ways to implement Spark. Introduction to BigData, Hadoop and Spark . Published on Jan 31, 2019.

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• Spark is a general-purpose big data platform. • Runs in standalone mode, on YARN, EC2, and Mesos, also on Hadoop v1 with SIMR. • Reads from HDFS, S3, HBase, and any Hadoop data source. • MLlib is a standard component of Spark providing machine learning primitives on top of Spark. • MLlib is also comparable to or even better than other

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