Design Data Processing Solutions
Lecture
Kerry Tyler
Intermediate
1 h 57 m
2019-10-11
Lecture Overview
This course covers designing of data processing solutions. We will look at leveraging Data Factory and Databricks and choosing optimal batch processing technology. The course will also include the design of real-time processing solutions with Stream Analytics and Azure Databricks.

Related Learning Path(s):
DP-201: Designing an Azure Data Solution
Objectives
  • The course demonstrates the steps required to design data processing solutions.
Pre-Requisites
  • Basic knowledge of Azure
  • Implementing an Azure Data Solutions
Lecture Modules
This module will cover how to design batch processing solutions by using Data Factory and Azure Databricks, identify the optimal data ingestion method for a batch processing solution, identify where processing should take place, such as at the source, at the destination, or in transit.
This module will teach how to, design for real-time processing by using Stream Analytics and Azure Databricks, design and provision compute resources.
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