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1. Big data fundamentals
   • Big Data and its role in the corporate world
   • The phases of development of a Big Data strategy within a corporation
   • Explain the rationale underlying a holistic approach to Big Data
   • Components needed in a Big Data Platform
   • Big data storage solution
   • Limits of Traditional Technologies
   • Overview of database types
   • The four dimensions of Big Data
2. Big data impact on business
   • Business importance of Big Data
   • Challenges of extracting useful data
   • Integrating Big data with traditional data
3. Big data storage technologies
   • Overview of big data technologies
     • Data storage models
     • Hadoop
     • Hive
     • Cassandra
     • MongoDB
   • Choosing the right big data technology
4. Processing big data
   • Connecting and extracting data from database
   • Transforming and preparation data for processing
   • Using Hadoop MapReduce for processing distributed data
   • Monitoring and executing Hadoop MapReduce jobs
   • Hadoop distributed file system building blocks
   • Mapreduce and Yarn
   • Handling streaming data with Spark
5. Big data analysis tools and technologies
   • Programming Hadoop with Pig Latin language
   • Querying big data with Hive
   • Mining data with Mahout
   • Visualizing and reporting tools
6. Big data in business
   • Managing and establishing Big Data needs
   • Business importance of Big Data
   • Selecting the right big data tools for the problem

Data Warehousing Concepts

• What is Data Ware House?
• Difference between OLTP and Data Ware Housing
• Data Acquisition
• Data Extraction
• Data Transformation.
• Data Loading
• Data Marts
• Dependent vs Independent data Mart
• Data Base design

ETL Testing Concepts:

• Introduction.
• Software development life cycle.
• Testing methodologies.
• ETL Testing Work Flow Process.
• ETL Testing Responsibilities in Data stage.       

Big data Fundamentals

• Big Data and its role in the corporate world
• The phases of development of a Big Data strategy within a corporation
• Explain the rationale underlying a holistic approach to Big Data
• Components needed in a Big Data Platform
• Big data storage solution
• Limits of Traditional Technologies
• Overview of database types

NoSQL Databases

Hadoop

Map Reduce

Apache Spark