Provisioning an Azure Synapse Analytics Instance

1 hour
  • 3 Learning Objectives

About this Hands-on Lab

In this lab, we will create and configure an instance of Azure Synapse Analytics. In addition to basic provisioning, we will explore Synapse Studio and learn how to find sample data and scripts, learn how to create SQL pools, and explore how to allow other Azure services and resources to access our new workspace.

https://docs.microsoft.com/en-us/learn/modules/design-multidimensional-schema-to-optimize-analytical-workloads/

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Provision an Azure Synapse Account
  1. Create a Synapse workspace.
  2. Create a new Data Lake Storage Gen2.
  3. Configure security credentials.
  4. Set up firewall to allow access to Azure services and resources.
Access Synapse Studio
  1. Open Synapse Studio.
  2. Access sample data in Synapse Studio.
  3. Access sample scripts and learn how to employ them in Synapse.
SQL Pools
  1. Create a DW100c dedicated SQL pool.
  2. Access your newly created SQL pool in Azure Synapse Analytics.
  3. Pause your SQL pool to avoid cost overrun.

Additional Resources

For this scenario, you work for Wally's Wonderful World of Widgets, a company that — you guessed it — sells widgets.

They are currently on-premises and looking to move to Azure.

They have a need for complex queries and have massive amounts of data. They think Azure Synapse might be a perfect fit.

You have been tasked with standing up an environment that could be later loaded with data and used for a board demonstration.

What are Hands-on Labs

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.

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Psst…this one if you’ve been moved to ACG!

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