• Online, Self-Paced
Course Description

The serving layer is where data is stored for consumption by processing services. In this course, you'll explore dimensional data modeling and hierarchies. You'll learn how to define slowly changing dimensions and temporal design within databases. Then, you'll learn about the differences between the star and snowflake schemas as well as how to design a star schema. Next, you'll examine incremental data loading for stream processing and the options for analytical data stores. Finally, you'll learn about options for creating metastores for use by Azure Databricks and Azure Synapse Analytics.

This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.

Learning Objectives

{"discover the key concepts covered in this course"}

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

  • Network Services