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Merge pull request #223492 from jovanpop-msft/patch-239
Added a note that querying replicated delta tables is not GA
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articles/synapse-analytics/sql/query-delta-lake-format.md

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In this article, you'll learn how to write a query using serverless Synapse SQL pool to read Delta Lake files.
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Delta Lake is an open-source storage layer that brings ACID (atomicity, consistency, isolation, and durability) transactions to Apache Spark and big data workloads.
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You can learn more from the [how to query delta lake tables video](https://www.youtube.com/watch?v=LSIVX0XxVfc).
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The serverless SQL pool in Synapse workspace enables you to read the data stored in Delta Lake format, and serve it to reporting tools.
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A serverless SQL pool can read Delta Lake files that are created using Apache Spark, Azure Databricks, or any other producer of the Delta Lake format.
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Apache Spark pools in Azure Synapse enable data engineers to modify Delta Lake files using Scala, PySpark, and .NET. Serverless SQL pools help data analysts to create reports
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on Delta Lake files created by data engineers. You can learn more from the [how to query delta lake tables video](https://www.youtube.com/watch?v=LSIVX0XxVfc).
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Apache Spark pools in Azure Synapse enable data engineers to modify Delta Lake files using Scala, PySpark, and .NET. Serverless SQL pools help data analysts to create reports on Delta Lake files created by data engineers.
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> [!IMPORTANT]
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> Querying Delta Lake format using the serverless SQL pool is **Generally available** functionality. However, querying Spark Delta tables is still in public preview and not production ready. There are known issues that might happen if you query Delta tables created using the Spark pools. See the known issues in the [self-help page](resources-self-help-sql-on-demand.md#delta-lake).
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## Quickstart example
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