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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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