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29 March 2023

Elevate your data analytics capabilities with the state-of-the-art Trino Connector for DataGalaxy. Our newest integration enables you to harness the power of Trino’s distributed SQL query engine and DataGalaxy’s dynamic data analytics and visualization platform. Prepare to unlock unparalleled performance, scalability, and insight!

Trino, formerly known as Presto, is a high-performance, distributed SQL query engine designed for fast and efficient querying of large datasets.

By integrating the Trino connector, we aim to help our users easily connect DataGalaxy to their Trino-based data sources, streamlining data access, and simplifying data management tasks.

With the Trino connector, DataGalaxy users can:

  • Effortlessly connect to their Trino data sources, enabling seamless access to information about data from various storage systems.
  • Utilize DataGalaxy’s powerful features, such as data cataloging, lineage, and glossary management, to gain better insights and understanding of their Trino-based data.
  • Enhance collaboration and data-driven decision-making within their organization by leveraging the Trino connector’s compatibility with DataGalaxy.

To take advantage of the new Trino connector, navigate to the connectors section within your DataGalaxy platform and follow the easy setup instructions.

Once configured, you can start enjoying the benefits of this integration and unlock the full potential of your Trino-based data.

About DataGalaxy:

Founded in 2015 in Lyon, DataGalaxy is the pioneer of collaborative data governance in France. DataGalaxy is the industry’s first data knowledge catalog helping organizations understand how their entire business runs on data. An established leader in Europe, growing rapidly and operating worldwide, DataGalaxy offers a user-centric platform dedicated to metadata mapping, active metadata management, and metadata knowledge sharing. With its innovative approach to data governance and cataloging, DataGalaxy helps businesses of all sizes gain control over their data assets and make better, more informed decisions.

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