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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.

Lab 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.Customer
Parquet file, determine how many customer entries use the company name A Bike Store.
About the author
Real skill practice before real-world application
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On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.