Big Data & Database Systems Fundamentals

The course is part of the Data Scientist skill set (Domain: Data and Technology).

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