Subject Details
Dept     : CS-CYBER SECURITY
Sem      : 4
Regul    : 2024
Faculty : Narmatha M
phone  : 9944894028
E-mail  : narmatha.m.cbs@drsnscas.ac.in
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Syllabus

UNIT
1
What is Analytics?

Descriptive Analytics- Diagnostic Analytics- Predictive Analytics- Prescriptive Analytics- What is Big Data?- - Characteristics of Big Data - Volume-Velocity-Variety- Veracity- Value Domain Specific Examples of Big Data - Web - Financial - Healthcare - Internet of Things - Environment - Logistics & Transportation - Industry - Retail

UNIT
2
Analytics Flow for Big Data

Data Collection- Data Preparation- Analysis Types- Analysis Modes- Visualizations- Big Data Stack -: Raw Data Sources- Data Access Connectors- Data Storage- Batch Analytics- Real-time Analytics - Interactive Querying- Serving Databases, Web & Visualization Frameworks.

UNIT
3
Big Data Patterns

Analytics Architecture Components & Design Styles - Load Leveling with Queues- Load Balancing with Multiple Consumers- Leader Election- Sharding- Consistency, Availability & Partition Tolerance (CAP)- Bloom Filter- Materialized Views- Lambda Architecture- Scheduler-Agent-Supervisor- Pipes & Filters - Web Service - Consensus in Distributed Systems - MapReduce Patterns .

UNIT
4
NoSQL

Key-Value Databases- Amazon DynamoDB - Document Databases – MongoDB- Column Family Databases – Hbase - Graph Databases - Neo4j- Data Acquisition- Data Acquisition Considerations- Source Type- Velocity - Ingestion Mechanism. Publish - Subscribe Messaging Frameworks- Apache Kafka- Amazon Kinesis

UNIT
5
Big Data Collection Systems:

Apache Flume- Apache Sqoop - Importing Data with Sqoop- Selecting Data to Import- Custom Connectors- Importing Data to Hive- Importing Data to HBase- Incremental Imports- Importing All Tables- Exporting Data with Sqoop- Big Data Storage- HDFS - HDFS Architecture - HDFS Usage Examples.

Reference Book:

1. Rudolf Mathar (Author), Gholamreza Alirezaei (Author), Emilio Balda (Author),” Fundamentals of Data Analytics: With a View to Machine Learning ”, Publisher ‏ : ‎ Springer; 1st ed. 2020 edition (16 September 2020) ISBN-10 ‏ : ‎ ‎ 303056830X 2. Anil Maheshwari, “Data Analytics ”, Publisher: McGraw Hill Education; First edition (1 July 2017), ISBN: 9352604180.

Text Book:

Arshdeep Bahga & Vijay Madisetti , “Big Data Analytics: A Hands-On Approach” Published by Arshdeep Bahga & Vijay Madisetti, ISBN: 978-1-949978-00-1

 

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