Course Outline

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

 14 Hours

Testimonials (4)

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