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
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.
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 .
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
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