- Lab
- A Cloud Guru
Optimizing Azure Data Factory Jobs
In this hands-on lab scenario, you are a data engineer for Awesome Company. Previously you created an Azure Data Factory pipeline to copy sales data to an archive database. Lately reports have come in that this ADF job is taking a long time to run. Your task is to evaluate the job and implement optimizations in order to improve performance. Performing the actions of this hands-on lab will help you become familiar with optimizing various parts of Azure Data Factory jobs.
Path Info
Table of Contents
-
Challenge
Optimize the Source
- Configure your Azure SQL Database source so that it provides the fastest performance and prevents any database locks.
-
Challenge
Optimize the Compute Resources
- Awesome Company has noticed a lot of out-of-memory errors and latency when performing joins. Optimize the compute resources to account for this.
-
Challenge
Optimize the Sink
- The existence of indexes are causing the pipeline to perform slower. Alter the sink so that the table's indexes will not cause extra overhead.
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.
