Target group
This course is intended for:
- Individuals who are new to big data concepts, including Enterprise Solutions Architects, Big Data Solutions Architects, Data Scientists, and Data Analysts.
Course structure
This course contains the following 4 modules:
Module 1 – Introduction to Big Data
- The Business Importance of Big Data
- The Hadoop Ecosystem
- Characteristics of Big Data
- Processing Big Data
- Tools and Techniques for Analyzing Big Data
- Implementing Big Data Solutions
- Case Study – Social Media Analytics
Module 2 – Introduction to MapReduce and Hadoop
- Hadoop Architecture
- MapReduce Framework
- MapReduce Programming
- MapReduce and HDFS/S3
- Use Case – Recommendation Engine
Module 3 – Data Analysis Using Pig Programming
- Introduction to Pig
- Pig Data Types
- Representing Data in Pig
- Running Pig
- User-Defined Functions
- Pig vs Traditional RDBMSs
- Advanced Techniques in Pig
Module 4 – Big Data Querying with Hive
- Introduction to Hive
- Representing Data in Hive
- Hive Data Types
- Probing Data with Hive Queries
- Hive and AWS
- Use Case – Ad Hoc Analysis and Product Feedback
