Big Data Analytics 15CS82 VTU CBCS Notes

Big Data Analytics 15CS82 VTU CBCS Notes

Download VU CBCS notes of Big Data Analytics 15CS82 VTU CBCS Notes for 8th-semester computer science and engineering, VTU Belagavi.

Module 1 – Hadoop Distributed File System and Map Reduce Programming

Following are the contents of module 1 – HDFS

In this module, you will learn the concepts of Hadoop Distributed File System Basics (HDFS). You will understand, how to run map reduce example programs and benchmarks on HDFS. Also, you will study the Hadoop MapReduce Framework. Finally, simple MapReduce Programming examples are discussed in Java, C++, and python.

To download complete notes, click the below link

Module 1 – Big Data Analytics 15CS82 VTU CBCS Notes

Module 2 – Data Processing Tools, Haddop and YARN Administration

Following are the contents of module 2

In this module, you will study Essential Hadoop Tools such as Apache Pig, Apache Hive, Apache HBase, Apache Sqoop, and Apache Oozie. Also, Hadoop YARN Applications, Managing Hadoop with Apache Ambari, Basic Hadoop Administration Procedures are discussed.

READ  Data Types in Python Programs

To download complete notes, click the below link

Module 2 -Data Processing Tools, Haddop and YARN Administration

Module 3 – Business Intelligence, Data Warehousing, Data Mining, Data Visualization

Following are the contents of module 3

In this module, you will study, business Intelligence Concepts and their applications. Important concepts such as Data Warehousing, Data Visualization, and Data Mining are discussed.

To download complete notes, click the below link

Module 3 -Business Intelligence, Data Warehousing, Data Mining, Data Visualization

Module 4 – Decision Trees, Regression, Artificial Neural Networks, Cluster Analysis, Association Rule Mining

In module 4, different machine learning algorithms such as Decision Trees, Regression, Artificial Neural Networks, Cluster Analysis, Association Rule Mining are discussed.

To download complete notes, click the below link

Module 4 -Decision Trees, Regression, Artificial Neural Networks, Cluster Analysis, Association Rule Mining

Module 5 – Text Mining, Naïve Bayes Analysis, Support Vector Machine, Web Mining, and Social Network Analysis

In module 5, important concepts of Text Mining discussed. Later how to apply Naïve-Bayes Analysis on sample textual data for classification discussed. The concepts of Support Vector Machines are discussed in detail. Finally, you will understand, how Web Mining and Social Network Analysis are performed

READ  17CS32 Analog and Digital Electronics Module 3

To download complete notes, click the below link

Module 5 – Text Mining, Naïve Bayes Analysis, Support Vector Machine, Web Mining, and Social Network Analysis

If you like VTU CBCS notes, question papers, various study material please share with your friends, Also for regular updates do like the facebook page.