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In this course you will learn analytics, machine learning, and data science using Spark. Along with the different features and libraries of spark:  RDDs, Data frames, Spark SQL, MLlib, Spark Streaming and Graphx.

  • You, This Course and Us
  • Introduction to Spark
  • Resilient Distributed Datasets
  • Advanced RDDs: Pair Resilient Distributed Datasets
  • Advanced Spark: Accumulators, Spark Submit, MapReduce , Behind The Scenes
  • Java and Spark
  • Page Rank: Ranking Search Results
  • Spark SQL
  • MLlib in Spark: Build a recommendations engine
  • Spark Streaming
  • Graph Libraries

Duration: 8.5 Hours

Mode: Online Instructor-Led

Fees: $ 50 (Please check website for discount)

Knowledge in Python, java and Hadoop

  • SQL
  • MarReduce
  • Spark
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