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