Connect Azure Data Catalog to Power BI - Enterprise Data Analytics & Real-time Insights
Certified Data Connectivity
Why CData for Azure Data Catalog Power BI Connectivity
Break free from data loading limitations of Azure Data Catalog reporting in Power BI. Easily connect Microsoft Power BI with live Azure Data Catalog data for up-to-date visual analysis and reporting.
High-performance Azure Data Catalog Connectivity
Eliminate Azure Data Catalog performance & query speed issues in minutes
Large datasets often slow down reports and dashboards in Power BI due to its in-memory model. However, CData's Power BI Connector for Azure Data Catalog overcomes these challenges with advanced query optimization and Direct Query support. By leveraging Direct Query, you can avoid loading your entire Azure Data Catalog dataset into local memory and instead benefit from efficient server-side processing.
Breakthrough Power BI data volume and storage limits
Power BI Pro imposes a 1GB dataset size limit, and even Premium workspaces have constraints on query performance. The CData Power BI Connector supports Direct Query, reducing the amount of data retrieved when analyzing Azure Data Catalog data. Instead of loading the entire Azure Data Catalog dataset, only the necessary subset of query results is returned for your reports, optimizing performance and efficiency.
Microsoft Power BI
Comprehensive Azure Data Catalog data and metadata discovery
Find the Azure Data Catalog data you need for reports — fast and easy.
The Azure Data Catalog Connector provides full access to both data and metadata, enabling efficient automated data exploration and discovery. It features intelligent row scanning, type detection, relationship mapping, and support for unstructured data. These capabilities allow Power BI to recognize data fields without the need for casting or conversion, making it easier and faster for users to create meaningful reports.
Simplify report development with SQL-like querying
Certain data sources, such as Azure Data Catalog and other NoSQL databases, lack native support for SQL-like queries, often requiring data transformation before use in Power BI. CData simplifies this process with a built-in SQL transformation layer that automatically translates SQL queries into real-time data source calls. This enables seamless Azure Data Catalog integration, making it as straightforward as connecting to a traditional relational database.
Live Azure Data Catalog reporting. No ETL Required
Mitigate security & compliance risks vs. other integrations
CData's live Power BI connectivity for Azure Data Catalog overcomes the challenges associated with traditional integration methods like ETL and local data replication. Unlike data replication, live querying enhances security and compliance by eliminating risks such as data staleness, inconsistency, and corruption. It also reduces exposure from overprivileged access and delayed revocation while minimizing the attack surface created by duplicate copies. Additionally, live connectivity simplifies regulatory compliance by ensuring better adherence to data residency, retention policies, and auditability requirements.
Native Power BI Gateway and Power Platform support
Azure Data Catalog Power BI Connector supports the use from Power BI Gateway. Power BI on-premises gateway allows publish and auto-refresh the data set in your Power BI Desktop to Power BI cloud and other Microsoft Power Platform services such as Power Apps and Power Automate.
Connect Power BI to Azure Data Catalog
Watch the video overview for a first hand look at how easy it is to connect Power BI to live data from Azure Data Catalog with CData.
- Leverage Direct Query capabilities to enhance analytics performance for large Azure Data Catalog data sets.
- Extensive schema discovery capabilities for every data source. Explore tables, columns, keys, and other data constructs based on user identity.
- Easily connect Power BI directly with complex data structures through flexible and extensible flattening.
- Deploy Power BI reports that automatically refresh on-prem or to the cloud.
- And more!
Frequent Azure Data Catalog Power BI Connectivity questions
Common questions about integrating Azure Data Catalog with Microsoft Power BI.
Does Azure Data Catalog support Power BI?
Azure Data Catalog doesn't natively integrate with Power BI, but CData Power BI Connectors for Azure Data Catalog enable seamless Azure Data Catalog analytics and reporting. Our connectors provide real-time, direct access to Azure Data Catalog data in Power BI, allowing you to build dynamic dashboards without complex ETL processes. With CData, you get secure, high-performance connectivity for better insights.
How do I connect to Azure Data Catalog from Power BI?
Moving data from Azure Data Catalog to Power BI doesn't have to be difficult. The Azure Data Catalog Power BI Connector enables real-time, direct Power BI Azure Data Catalog connectivity, eliminating complex ETL.
How It Works
- Install the PowerBI Azure Data Catalog connector and open Power BI Desktop.
- Connect via Get Data > More > CData Azure Data Catalog using your credentials to connect Azure Data Catalog and Power BI.
- Access live data, run SQL queries, and build dynamic dashboards.
- Publish reports to Power BI Service for seamless sharing.
That's all there is to it. With secure, high-performance Power BI Azure Data Catalog integration, CData simplifies Azure Data Catalog bi, analytics and reporting. For more information, read the Power BI Azure Data Catalog Connector getting started guide.
What are the advantages of using the CData Azure Data Catalog data Connector for Power BI?
The CData Azure Data Catalog Connector offers key advantages for seamless Azure Data Catalog Power BI integration:
- Azure Data Catalog Real-Time Analytics (DirectQuery): Live, direct query access to Azure Data Catalog data in Power BI eliminates extracts and refreshes. This is especially powerful for working with large Azure Data Catalog datasets, as it allows you to analyze massive amounts of data without the limitations of in-memory processing. DirectQuery ensures your reports always reflect the latest Azure Data Catalog information.
- Performance & Scalability: Optimized queries ensure fast data retrieval and handle growing data volumes efficiently. Even with massive datasets, the CData connectors make Azure Data Catalog PowerBI integration fast and reliable.
- Comprehensive Data Access: The Azure Data Catalog BI connector provides comprehensive access to Azure Data Catalog Data and Azure Data Catalog metadata, empowering you to understand the structure of your data and build more robust and accurate reports. This deep Azure Data Catalog metadata integration simplifies data discovery and ensures your Power BI reports accurately reflect the meaning and context of your Azure Data Catalog data.
- Enterprise-Grade Security: The Azure Data Catalog PowerBI connector supports modern security standards and enterprise authentication methods, making it easier to comply with security policies.
Ultimately, the Azure Data Catalog to Power BI connector delivers fast, secure, and customizable access to Azure Data Catalog in Power BI for analytics and reporting.
How does the CData Azure Data Catalog connector work with Power BI Service?
Yes, all of our connectors support connecting Microsoft Power BI and Azure Data Catalog integration from Power BI Service by using the Microsoft Power BI Gateway. Instructions for installing and configuring the Power BI Gateway are available in the online Azure Data Catalog help file.
Where can I download the Azure Data Catalog Connector for Power BI?
All of the CData Power BI Connectors for PowerBI Azure Data Catalog integration are freely available for download online. A 30-day trial of the Azure Data Catalog Connector download can be found alongside other supported Azure Data Catalog integration technologies like ODBC, JDBC, ADO.NET, SQL Server SSIS, and more.
Ready to get started? Try CData for free today!
Do you want to learn more about how you can use CData to connect Microsoft Power BI with real-time data from anywhere? Contact us below, and let's talk.
