• Online, Self-Paced

When working with data in a data warehouse, some level of transformation is usually required between the source and destination. In this course, you will learn about transformation and designing data flow.

Learning Objectives

Designing Data Flow

  • start the course
  • determine the need for supporting Slowly Changing Dimensions transformations
  • determine whether to use SQL Joins or SSIS lookup or merge join transformations
  • describe batch processing and row-by-row processing
  • describe identity mapping methods
  • recognize methods for deduplication
  • describe fuzzy lookup
  • Implement a fuzzy lookup in SSIS
  • determine what to do with erroneous and changed rows
  • determine auditing needs for SSIS packages

Practice: Data Flow in SQL Server 2014

  • use data flow to load data in SQL Server 2014

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Data Administration
  • Systems Administration
  • Systems Development

Specialty Areas have been removed from the NICE Framework. With the recent release of the new NICE Framework data, updates to courses are underway. Until this course can be updated, this historical information is provided to give better context as to how it can help you with your cybersecurity goals.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.