Hadoop Platform Development detailed syllabus scheme for B.Tech Computer Engineering (CE), 2017-18 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For all other DBATU Syllabus for Computer Engineering 7th Sem 2017-18, do visit CE 7th Sem 2017-18 Onwards Scheme. The detailed syllabus scheme for hadoop platform development is as follows.
Hadoop Platform Development Syllabus for Computer Engineering (CE) 4th Year 7th Sem 2017-18 DBATU
Course Objectives and Outcomes:
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Detailed Contents:
Hadoop Basics: Hadoop Stack Basics, The Apache Framework: Basic Modules, Hadoop Distributed File System (HDFS), The Hadoop “Zoo”, Hadoop Ecosystem Major Components, Apache Hadoop Ecosystem, Exploring the Cloudera VM.
Spark: Introduction to Apache Spark, Architecture of Spark, Setup PySpark on the Cloudera VM, Resilient Distributed Datasets, Spark Transformations, Wide Transformations, Directed Acyclic Graph (DAG) Scheduler, Actions in Spark, Memory Caching in Spark, Broadcast Variables, Accumulators, Simple Join in Spark, Advanced Join in Spark.
- *Programming assignments are mandatory.
Text Books:
- The Hadoop – Definitive Guide, Tom White, OReilly, 2009.
- Hadoop for Dummies, Dirk deRoos, Paul C. Zikopoulos, Bruce Brown, Rafael Coss, and Roman B. Melnyk, Wiley Publication.
- Eric Sammer, Hadoop Operations A Guide for Developers and Administrators, O’Reilly Media.
Reference Book:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier..
For detail syllabus of all other subjects of Computer Engineering (CE) 7th Sem 2017-18 regulation, visit CE 7th Sem Subjects syllabus for 2017-18 regulation.