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Azure Synapse Analytics Blog
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Supercharge BI insights with the new Azure Synapse Analytics workspace connector for Power Query

Aria_Jelinek's avatar
Aria_Jelinek
Former Employee
Nov 10, 2021

Announced at Ignite 2021, data analysts can now speed up and simplify business analytics on more Azure Synapse data sources with the new Azure Synapse Analytics workspace connector for Power Query, available in public preview.

 

This new connector expands the integration between Power BI and Azure Synapse to include access to all Azure Synapse databases, including data stored in Apache Spark pools, data lakes, linked databases, and data imported by Azure Synapse Link. Analysts can also streamline their analytics with the ability to preview data, including metadata and pre-established table relationships. This means more certainty and less prep time when locating and importing data for analysis in Power BI.

 

Simplified collaboration to drive business insights

 

Data teams often face bottlenecks when provisioning data sources for end user analysis. Locating the right data, importing it to the correct business analytics tool, and knowing how to pair up tables and sources to answer business questions has historically been a clunky process requiring multiple rounds of requests. The Azure Synapse Analytics workspace connector streamlines this process, providing analysts working in Power BI direct access to the great work their data colleagues have already put into defining relationships and preparing data in Azure Synapse.

 

The new Azure Synapse Analytics workspace connector for Power Query automatically detects Azure Synapse workspaces, previews tables, and captures table relationships to empower business users to quickly find insights and to ensure consistency across data teams. This means business analysts can review Azure Synapse data sources, quickly understand the content with imported metadata and table relationships and do light code-free data prep to get the data they need without requiring a technical counterpart.

 

Limitless analytics with Azure Synapse and Power BI, now easier than ever

 

To generate meaningful insights, business analysts require reliable data sets that have been transformed, enriched, and prepared for end user analysis. Azure Synapse Analytics provides a limitless analytics platform to accomplish all of these data tasks and to support business analytics at scale, uniting the worlds of structured SQL data warehousing and big data analytics in Apache Spark to empower and connect individuals and teams at every stage of the analytics process.

 

The Azure Synapse Analytics workspace connector in action

 

To take advantage of the Azure Synapse workspace connector in public preview, you'll need access to an Azure Synapse workspace and to Power BI Desktop.

 

1. To get started, open Power BI Desktop and navigate to Get data > Azure Synapse Analytics workspace (Beta)

 

2. Locate the workspace you'd like to use > select Tables to analyze

 

 

3. Perform any additional code-free data transformations with the Power Query editor

 

 

 

4. Review and verify imported data relationships

 

 

5. Start reporting on your data in Power BI! 

 

 

What's next?

 

 

 

 

 

Updated Nov 10, 2021
Version 1.0

2 Comments

  • Vitaly's avatar
    Vitaly
    Iron Contributor

    This rather interesting connector has been in public preview for just over a year. Can you please advise if there is still a plan to eventually make it GA and if so, on what time frames?

     

    Also, the connector's splash screen references a "third-party service". However, the link that's intended to describe it is broken (as of current November 2022 version of Power BI Desktop). Can you please describe the nature of this "third-party service"?

     

    I concur with the previous comment in that it would help to see a side-by-side comparison between the capabilities of this connector vs. the Azure Synapse Analytics SQL connector.

  • Hanno1295's avatar
    Hanno1295
    Copper Contributor

    Aria_Jelinek , from an interest point of view, what's the different by using this connector instead of the Azure SQL connector which points to the serverless SQL pool in Synapse? Does this new connector bypass the serverless SQL pool by retrieving the data directly from the data lake using the metadata in the lake database?  Or does it still require the capacity from the serverless SQL pool.