Syllabus Hadoop and Big Data,old Question papers, Answers, important Question HADOOP AND BIG DATA R13 Regulation B.Tech JNTUK-kakinada Syllabus download

Syllabus ,Hadoop and Big Data,old Question papers, Answers, important Question HADOOP AND BIG DATA, R13 Regulation, B.Tech , JNTUK,Syllabus, download,

Hadoop and Big Data Syllabus R13 Regulation unit wise

Unit-I

Data structures in Java:

  • Linked List
  • Stacks
  • Queues
  • Sets
  • Maps
  • Generics:

  • Generic classes and Type parameters
  • Implementing Generic Types
  • Generic Methods
  • Wrapper Classes
  • Concept of Serialization

Unit-II

Working with Big Data:

  • Google File System
  • Hadoop Distributed File System (HDFS) – Building blocks of Hadoop(Namenode, Datanode, Secondary Namenode, JobTracker, TaskTracker)
  • Introducing and Configuring Hadoop cluster (Local,Pseudo-distributed mode,Fully Distributed mode)
  • Configuring XML files

Unit-III

Writing MapReduce Programs:

  • A Weather Dataset
  • Understanding Hadoop API for MapReduce Framework (Old and New)
  • Basic programs of Hadoop MapReduce:

  • Driver code
  • Mapper Code
  • Reducer Code
  • Combiner
  • Partitioner

Unit-IV

Hadoop I/O:

  • The Writable Interface
  • WritableComparable and comparators
  • Writable Classes:

  • Writable wrappers for Java primitives
  • Text
  • BytesWritable
  • NullWritable
  • ObjectWritable and GenericWritable
  • Writable collections
  • Implementing a Custom Writable:

  • Implementing a RawComparator for speed
  • Custom comparators

Unit-V

Pig:

  • Hadoop Programming Made Easier Admiring the Pig Architecture
  • Going with the Pig Latin Application Flow
  • Working through the ABCs of Pig Latin
  • Evaluating Local and Distributed Modes of Running Pig Scripts
  • Checking out the Pig Script Interfaces
  • Scripting with Pig Latin

Unit-VI

Applying Structure to Hadoop Data with Hive:

  • Saying Hello to Hive
  • Seeing How the Hive is Put Together
  • 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

Reference Books

  1. Big Java 4th Edition, Cay Horstmann, Wiley John Wiley & Sons, INC
  2. Hadoop: The Definitive Guide by Tom White, 3rd Edition, O’reilly Hadoop in Action by Chuck Lam, MANNING Publ.
  3. Hadoop for Dummies by Dirk deRoos, Paul C.Zikopoulos, Roman B.Melnyk,Bruce Brown, Rafael Coss

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OPEN ELECTIVE R10
COMPUTER ARCHITECTURE R10
Cryptography and Network Security R16
Software Architecture & Deisgn Patterns R16
Web Technologies R16
Managerial Economics and Financial Analysis R16
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Web Technologies Lab R16
Big Data Analysis R16
CLOUD COMPUTING R16
Software Project Management R16
CRYPTOGRAPHY AND NETWORK SECURITY R10
UML & DESIGN PATTERNS R10
DATA WARE HOUSING AND DATA MINING R10
MOBILE COMPUTING R10
MATLAB R10
WEB SERVICES R10
OPEN SOURCE SOFTWARE R10
CYBER LAWS R10
COMPUTER FORENSICS R10
CLOUD COMPUTING R10
SOFTWARE PROJECT MANAGEMENT R10
MACHINE LEARNING R10
DISTRIBUTED DATABASES R10
UML & DESIGN PATTERNS LAB R10
MOBILE APPLICATION DEVELOPMENT LAB R10
BIG DATA ANALYTICS R10