Bigdata Analytics detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Cloud Computing & Big Data (CC) 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 Cloud Computing & Big Data 6th Sem scheme and its subjects, do visit Cloud Computing & Big Data (CC) 6th Sem 2021 regulation scheme. For Open Elective-I scheme and its subjects refer to Cloud Computing & Big Data (CC) Open Elective-I syllabus scheme. The detailed syllabus of bigdata analytics is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course, the student will be able to:
- Describe the concepts of Big Data
- Summarize the basic concepts in Big Data Analytics and NoSQL
- Demonstrate Map Reduce programming in Hadoop Environment
- Use the basic programming tools like Hive and Pig in Hadoop ecosystems
Module 1:
Introduction to Bigdata : Data -Big data -Examples of Big data Characteristics of Big Data- Volume, Variety, Velocity, and other characteristics. Classification /Types of f Digital Data: Structured, Unstructured and- Semi Structured Big Data Analytics : Definition of Big Data analytics , Requirement of high performance analytics -Challenges with Big Data-Big data analytics used today-Benefits of Big Data analytics Applications of Big Data Analytics: Health care, Education-commerce-Media and entertainment-Finance-Travel industry-Telecom-Automobile Data Warehouse: Definition, Coexistence of Big Data and Data Warehouse. Data Mining- Introduction, Data Mining Goals, Types of data, Steps to discover knowledge from data(Stages of the Data Mining Process), Data Mining Techniques, Knowledge Representation Methods Data Preprocessing -Need of data preprocessing, data quality, data preprocessing methods- data cleaning, data integration, data reduction, data transformation Data Visualization: Definition, Need for Visualization, List some tools used for Visualization
Module 2:
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Module 4:
INTRODUCTION TO HIVE AND PIG Hive: Introduction – Architecture – Data Types – File Formats – Hive Query Language Statements – Partitions – Bucketing – Views – Sub- Query – Joins – Aggregations. Hive User Defined Function – Serialization and Deserialization (SERDE). Pig: Introduction – Anatomy – Features – Use Case for Pig – Pig Latin Overview – Pig Primitive Data Types – Running Pig – Execution Modes of Pig – HDFS Commands -User-Defined Functions. Pig Versus Hive
Text Books:
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- Seema Acharya, Subhasini Chellappan, “Big Data Analytics”, Wiley, 2015
Reference Books:
- Jiawei Han,Champaign Micheline Kamber ,Jian Pei Simon Fraser ‘”Data Mining Concepts and Techniques Third Edition”
- Frank J Ohlhorst, ―Big Data and Analytics: Turning Big Data into Big Money, Wiley and SAS Business Series, 2012.
- Tom White, ― Hadoop: The Definitive Guide Third Edition, O’reily Media, 2012
- EMC Education Services, Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. John Wiley & Sons, 2015. Publishers – 2012.
- Michael Minelli, Michele Chambers, Ambiga Dhiraj, “Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends”, John Wiley & Sons, 2013.
Online Resources
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 pdfs platform to make students’s lives easier..
For detailed syllabus of all other subjects of Cloud Computing & Big Data, 2021 revision curriculum do visit Cloud Computing & Big Data (CC) 6th Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Cloud Computing & Big Data of diploma 2021 revision curriculum do visit SITTTR diploma results..
For all Cloud Computing & Big Data academic calendars, visit Cloud Computing & Big Data all semesters academic calendar direct link.