- Lab
- Cloud
- Data
Partition Data in Azure Synapse Analytics
In this hands-on lab, you will learn how to provision a Data Synapse Analytics workspace, work with data flows, create and trigger data pipelines, and partition data as data is migrated. The skills learned in this lab are very frequently used by data engineers and data architects. This lab will also touch on critical skills found on the DP-203 exam.
Path Info
Table of Contents
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Challenge
Prepare the Environment
Create a Synapse Analytics instance in the West US region. It should utilize a new Data Lake Storage Gen 2 account.
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Challenge
Create a Data Flow in Azure Synapse Analytics
- Create a data flow that utilizes the Bing COVID-19 sample dataset. This data flow should migrate the data to your newly created data lake.
- The data flow should create 5 round-robin partitions.
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Challenge
Create a Data Pipeline in Azure Synapse Analytics
Create a data pipeline that includes the newly created data flow.
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Challenge
Run the Data Pipeline and Verify Partitioning
Verify and run the data pipeline using Trigger Now. Finish the objective by verifying the partitioning was created correctly.
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.