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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.

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Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 25, 2025
Duration
30m

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Table of Contents
  1. Challenge

    Prepare the Environment
    1. Create a Synapse Analytics instance in the West US region. It should utilize a new Azure Data Lake Storage Gen 2 account.

    2. 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.

    3. Create a container named test in the newly created Azure Data Lake Storage Gen 2 account.

  2. 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.

  3. 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.

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