Apache Spark Training

Hadoop Training Chenani

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Scala, Java, and Python that make parallel jobs easy to write, and an optimized engine that supports general computation graphs. It also supports a rich set of higher-level tools including Shark (Hive on Spark), MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

Hadoop Training Chennai

Speed

  • Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.
  • Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing.

Ease of Use

  • Write applications quickly in Java, Scala or Python.
  • Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala and Python shells.

Spark Training Outline

  • Spark components
  • Cluster managers
  • Hardware & configuration
  • Linking with Spark
  • Monitoring and measuring

You will Learn :

  • Prototype distributed applications with Spark’s interactive shell
  • Learn different ways to interact with Spark’s distributed representation of data (RDDs)
  • Load data from the various data sources
  • Integrate Shark queries with Spark programs
  • bigQuery Spark with a SQL-like query syntax
  • Effectively test your distributed software
  • Tune a Spark installation
  • Install and set up Spark on your cluster
  • Work effectively with large data sets

Spark components

  • Cluster managers
  • Hardware & configuration
  • Linking with Spark
  • Monitoring and measuring

Spark application

Driver program
Java program that creates a SparkContext
Executors
Worker processes that  execute tasks and store data

 

Apache Spark Training / Hadoop Training Chennai / MongoDB Training Chennai

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