- Lab
- Cloud
Perform Data Exploratory Analysis in Azure
In this hands-on lab, you will be learning how to perform exploratory data analysis using Azure Synapse Analytics. This lab will give you an introduction in how to stand up a Synapse instance, create a data pipeline to move data into a data lake, and finally, query that data using a serverless SQL pool.
Path Info
Table of Contents
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Challenge
Prepare the Environment
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Create a Synapse Analytics instance in the West US region. It should utilize a new Azure Data Lake Storage Gen 2 account.
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Create an SQL database instance and server in the West US region. It should utilize DTU-based basic tier compute. Make sure to choose sample data as the data source.
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Create a container named test in the newly created Azure Data Lake Storage Gen 2 account.
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Challenge
Create a Data Pipeline
Create a data pipeline that pulls the customer and customer address tables from your newly created AdventureWorks database in SQL database. Once created, validate and run the pipeline.
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Challenge
Explore the Data with Serverless
Create an SQL query to query each of the two newly created Parquet files. In the
SalesLT.CustomerParquet file, determine how many customer entries use the company name A Bike Store.
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.