Big Data Analytics detailed syllabus for Computer Science & Engineering (CSE) for 2020-21 regulation curriculum has been taken from the Rajasthan Technical University official website and presented for the computer science & engineering 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 Computer Science & Engineering 8th Sem scheme and its subjects, do visit CSE 8th 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 Computer Science & Engineering, 2020-21 regulation curriculum do visit CSE 8th Sem subject syllabuses for 2020-21 regulation.
For all Computer Science & Engineering results, visit Rajasthan Technical University computer science & engineering all semester results direct link.