last update : 02/02/2017
Big Data Analytics Using Spark
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Agenda
Day 1
Big Data/Hadoop Introduction
What is Big Data and Data science Introduction to Distributed computing and Hadoop Hadoop Architecture – HDFS/MapReduce Anatomy of a Hadoop cluster, Hive - Architecture Demo, Hands on
Python ( Pre-req for Spark) - Introduction to Python - Programming concepts - Demo and Hands on Exercises Spark - Introduction to Spark - Spark Installation - Spark Architecture - RDD's - Lazy evaluation - Transformations and Actions - Sample programs - Demo and Hands on - Spark- SQL - Datasets, DataFrames
Day 2
Recap of Day1 Spark ..contd
Loading data from different type of files - Txt,Json,Parquet,CSV Spark -Hive integration Spark – MlLib - Introduction to Machine learning - MlLib Api's - Statistical Modeling using API's - K-Means Clustering - Regression and Classification SparkR - SparkR Dataframses - R Machine learning algorithms Spark Streaming - Understanding Dstreams - Running Streaming examples Demo and Hands on Q&A and conclusion
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Big Data Analytics Using Spark