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Course Content
Introduction
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Objective, scope and outcome of the course.
00:00
Introduction to Big Data
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Big data Definition, features and challenges
00:00
Problems with Traditional Large-Scale System
00:00
Sources of Big Data
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5 V’s of Big Data
00:00
Types of Data
00:00
Google File System
00:00
Hadoop Distributed File System (HDFS)
00:00
Building blocks of Hadoop (Name node, Data node, Secondary Name node, Job Tracker, Task Tracker)
00:00
Introducing and Configuring Hadoop cluster (Local. Pseudo- distributed mode, Fully Distributed mode)
00:00
Configuring XML files
00:00
Writing MapReduce Programs
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A Weather Dataset
00:00
Understanding Hadoop API for MapReduce Framework (Old and New)
00:00
Basic programs of Hadoop MapReduce: Driver code. Mapper code, Reducer code
00:00
Record Reader, Combiner, Partitioner
00:00
Hadoop I/O
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The Writable Interface
00:00
Writable Comparable and comparators
00:00
Writable Classes: Writable wrappers for Java primitives. Text. Bytes Writable. Null Writable, Object Writable and Generic Writable
00:00
Writable collections
00:00
Implementing a Custom Writable: Implementing a Raw Comparator for speed, Custom comparators.
00:00
Pig
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Hadoop Programming Made Easier Admiring the Pig Architecture
00:00
Going with the Pig Latin Application Flow
00:00
Working through the ABCs of Pig Latin
00:00
Evaluating Local and Distributed Modes of Running Pig Scripts
00:00
Checking out the Pig Script Interfaces
00:00
Scripting with Pig Latin
00:00
Applying Structure to Hadoop Data with Hive
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Saying Hello to Hive
00:00
Seeing How the Hive is Put Together
00:00
Getting Started with Apache Hive
00:00
Examining the Hive Clients
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Working with Hive Data Types
00:00
Creating and Managing Databases and Tables
00:00
Seeing How the Hive Data Manipulation Language Works
00:00
Querying and Analyzing Data
00:00
Big Data Analytics – 8th Semester : Rajasthan Technical University | Bikaner Technical University – Full Course (8CS4-01)
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