big data analytics cse syllabus

10 de dezembro de 2020


CSCI E-63 Big Data Analytics (24038) 2017 Spring term (4 credits) Zoran B. Djordjević, PhD, Senior Enterprise Architect, NTT Data, Inc. Lectures: Fridays starting on January 27 th, 2017, from 5:30 to 7:30 PM (EST), 1 Story Street, Room. The specialisation in Data Analytics prepares students with the skills to perform intelligent data analysis which is a key component in numerous real world applications. . B.Tech in Big Data Analytics is a 4- year undergraduate degree course in engineering. Raj Kamal and Preeti Saxena, Big Data Analytics Introduction to Hadoop, Spark, and Machine-Learning, McGraw Hill Education, 2018 ISBN: 9789353164966, 9353164966, Douglas Eadline, “Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem”, 1stEdition, Pearson Education, 2016. 5. Share to Twitter Share to Facebook Share to Pinterest. The detailed Syllabus for big data and analytics is as follows. This module covers the background of YARN, advantages of YARN, working with YARN, backward compatibility with YARN, YARN Commands, log management etc. Hadoop Distributed File System Basics (T2): HDFS Design Features, Components, HDFS User Commands. Share Share Share Share Share. This includes learning about Hadoop and its ecosystem which includes HDFS, MapReduce, YARN, HBase, Hive, Pig, Sqoop, Zookeeper, Flume, Oozie etc. Newer Post Older Post Home. CP5293 Big Data Analytics CP5293 Big Data Analytics. B.TECH. ICT’s provision for world class teaching and research is bolstered by an active engagement of industry experts. Knowledge fortified through analyzing real time data sets and latest tools reserve a spot for our students in data analytics job market. Text, Web Content, Link, and Social Network Analytics: Introduction, Text mining, Web Mining, Web Content and Web Usage Analytics, Page Rank, Structure of Web and analyzing a Web Graph, Social Network as Graphs and Social Network Analytics: For detail Syllabus of all other subjects of BE 7th Sem Computer Science & Engineering, visit (CSE) 7th Sem Syllabus Subjects. 9. Each full question will have sub questions covering all the topics under a module. This module cover topics such as Introduction to Hadoop, functioning of Hadoop, Cloud computing (features, advantages, applications) etc. Reply Delete. Some of the technologies big data consists of is Hadoop, MapReduce, Apache, Pig, Hive, Flume, Sqoop, Zookeeper, Oozie, Spark, Cassandra, Mongo DB and what not! M.Tech(CSE) - Specialisation in Big Data Analytics. Data Analytics offered as a Specialization to B.Tech Computer Science and Engineering in HITS. OBJECTIVES: Introducing Java concepts required for developing map-reduce programs; Optimize business decisions and create a competitive advantage with Big Data analytics This modules introduces you with all the necessary knowledge of Hive. Develop and apply innovative, state-of-the-art practices and technologies and Provide sustainable solutions to the Computer Science and Engineering Problems. In this article, I’ve covered the complete,