Big Data Analytics detailed syllabus for Information Technology (IT) for 2020-21 regulation curriculum has been taken from the Rajasthan Technical University official website and presented for the information technology students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Information Technology 7th Sem scheme and its subjects, do visit IT 7th Sem 2020-21 regulation scheme. The detailed syllabus of big data analytics is as follows.
Unit 1
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Unit 2
Introduction to Big Data: Big data features and challenges, Problems with Traditional Large-Scale System , Sources of Big Data, 3 V’s of Big Data, Types of Data. Working with Big Data: Google File System. Hadoop Distributed File System (HDFS) – Building blocks of Hadoop (Namenode. Data node. Secondary Namenode. Job Tracker. Task Tracker), Introducing and Configuring Hadoop cluster (Local. Pseudodistributed mode, Fully Distributed mode). Configuring XML files.
Unit 3
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Unit 4
Hadoop I/O: The Writable Interface. Writable Comparable and comparators. Writable Classes: Writable wrappers for Java primitives. Text. Bytes Writable. Null Writable, Object Writable and Generic Writable. Writable collections. Implementing a Custom Writable: Implementing a Raw Comparator for speed, Custom comparators.
Unit 5
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Unit 6
Applying Structure to Hadoop Data with Hive: Saying Hello to Hive, Seeing How the Hive is Put Together, Getting Started with Apache Hive. Examining the Hive Clients. Working with Hive Data Types. Creating and Managing Databases and Tables, Seeing How the Hive Data Manipulation Language Works, Querying and Analyzing Data.
For detailed syllabus of all other subjects of Information Technology, 2020-21 regulation curriculum do visit IT 7th Sem subject syllabuses for 2020-21 regulation.
For all Information Technology results, visit Rajasthan Technical University information technology all semester results direct link.