Build data analytics solutions using Azure Synapse serverless SQL pools
If you have large volumes of data stored as files in a data lake, you'll need a convenient way to explore and analyze the data they contain. Azure Synapse Analytics enables you to apply the SQL skills you use in a relational database to files in a data lake.
Prerequisites
Consider completing the Explore data analytics in Azure and Get started querying with Transact-SQL learning paths before starting this learning path. You will need knowledge of:
- Analytical data workloads in Microsoft Azure
- Querying data with Transact-SQL
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Modules in this learning path
With Azure Synapse serverless SQL pool, you can leverage your SQL skills to explore and analyze data in files, without the need to load the data into a relational database.
By using a serverless SQL pool in Azure Synapse Analytics, you can use the ubiquitous SQL language to transform data in files in a data lake.
Why choose between working with files in a data lake or a relational database schema? With lake databases in Azure Synapse Analytics, you can combine the benefits of both.
Learn how you can set up security when using Azure Synapse serverless SQL pools