Big Data Concepts 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 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 4th Sem scheme and its subjects, do visit Cloud Computing & Big Data (CC) 4th Sem 2021 revision scheme. The detailed syllabus of big data concepts is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course, the student will be able to:
- Summarize the concepts of Big Data
- Explain the basic concepts in Big Data Analytics and NoSQL
- Describe Map Reduce programming in Hadoop Environment
- Outline the basic concepts of Hive and Pig
Module 1:
Classification of Digital Data: Structured, Unstructured and Semi Structured
Big Data: Characteristics of Data, Evolution of Big Data, Definition of Big Data,
Challenges with Big Data, Need of big data
Characteristics of Big Data- Volume, Variety, Velocity, and other characteristics.
Applications, Big data sources, Traditional Business Intelligence (BI) versus Big Data
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 3:
Hadoop- Features of Hadoop, Key Advantages of Hadoop, Versions, Hadoop Distributions, Hadoop versus SQL, Integrated Hadoop Systems Offered by Leading Market Vendors, Cloud-Based Hadoop Solutions Advantages of Hadoop, RDBMS versus Hadoop , Distributed Computing Challenges, Overview of Hadoop Ecosystems and Hadoop Core Components, HDFS, Processing Data with Hadoop MapReduce Programming: Introduction, Mapper, Reducer, Combiner, Partitioner, Searching, Sorting, Compression.
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 -Group by and Having – RCFile Implementation – 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 -Relational Operators – Eval Function – Complex Data Types – Piggy Bank – User-Defined Functions – Parameter Substitution – Diagnostic Operator – Word Count Example using Pig – Pig at Yahoo! – Pig Versus Hive
Text Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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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 (CC), 2021 revision curriculum do visit Cloud Computing & Big Data 4th 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 (CC) of diploma 2021 revision curriculum do visit SITTTR diploma Cloud Computing & Big Data (CC) results..
For all Cloud Computing & Big Data academic calendars, visit Cloud Computing & Big Data all semesters academic calendar direct link.