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Big Data
Introduction to Big Data and Hadoop
What is Big Data? Dimensions of Big data 6 Vs Why do we bother Big Data? Challenge of Existing Systems What is Hadoop? Benefits of History of Hadoop Characteristics of Hadoop Hadoop Customers and their use cases Popular Hadoop Vendors and Distributions Hadoop Certifications details Q/AArchitecture of Hadoop 1.x and Hadoop 2.x
What is Master-Slave Architecture? Hadoop 1.0 and 2.0 Architecture Concepts of Blocks, Replication and Rack Awareness File read and write anatomy Coherency model Q/A and ExercisesInstallation & Configuration of Hadoop
Installation options and Pre-Requisites Cloudera Distributed Hadoop CDH) installation Hadoop Installation Modes Hadoop Configuration File Basic Linux and Hadoop Commands DemoMapReduce
What is MapReduce? Why MapReduce? Benefits of using MapReduce Word Count example using MapReduce and Eclipse More Hands-on using real world datasets such as (Number of sub-patents), Calculate max Temperature, Find Hot and cold days, Word size and word count, health Care Datasets Real-world casestudies Assignments Q/A and QuizAdvanced Mapreduce
Partitioners and Combiners Map side and Reduce side Joins Hands-on Assignments Q/A and QuizPIG
What is PIG? Why Pig? Who uses Pig? Use cases of Pig in real World Setting up and Starting up Pig Pig Handson Loading, Querying and Analyzing data Pig Scripts and UDF Concepts and Handson Q/A and QuizHIVE
What is Hive? Why Hive? Who uses Hive? Difference between Pig and Hive Use cases of Hive in real World Setting up and Starting up Hive Hive Hands-on- Loading, Querying and Analyzing data Hive UDF Partitioning and Bucketing in Hive Play with Hive advance parameters such as Dynamic Partitioning etc. Usage scenarios of using Pig And Hive Together Advance Hive Codes Q/A and Quiz
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