Denodo increases business user productivity and reduces cloud and data lake costs with new platform enhancements

“Data must be front and center for any organization that wants to be data-driven and competitive in the age of digital transformation,” said Sanjeev Mohan, Principal at SanjMo and former Gartner Research VP, Data and Analytics. “In most cases, however, the data is buried deep, accessing it is complicated and almost inaccessible to business users. This affects their value and potential for optimizing business and decision-making processes and leveraging new technologies such as GenAI. Denodo pushes the boundaries of data integration, management and delivery with a logical approach to help companies get the maximum value from their initiatives.”

As companies continue to expand the deployment of data products and new data analytics projects across different platforms and cloud systems, they must overcome challenges on multiple fronts. The latest features of the Denodo platform provide everyone with a solid foundation for reliable, trustworthy data, enabling greater access to the cloud and data lake and ensuring high performance. By providing self-service BI, data science, hybrid/multi-cloud data integration, and enterprise data services that ensure organizations get the most value from their strategic business initiatives, Denodo pushes the boundaries of data management with a logical approach.

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With these key enhancements to the Denodo platform, companies can:

Democratize data use with generative AI. This gives business users the ability to use natural language to interact with their data without requiring SQL knowledge or access to BI tools. Latest features include pre-built integrations with ChatGPT and Azure OpenAI, enabling natural language access to all datasets managed and served by the Denodo platform.

Strengthen self-service in the development of data products. This enables business teams to create and deploy their own data products for collaboration and data sharing within and outside the company. Data users can create, deploy, and share their datasets directly in the Denodo Data Catalog using drag-and-drop view creation wizards and an embedded SQL shell. Data access request workflows can now be managed within the Denodo Data Catalog, allowing data owners to quickly respond to requests and then gain insight into how sensitive data is being used to optimize data access and governance.

Leverage a FinOps dashboard to improve cloud cost savings. This is done by controlling costs and optimizing workloads, including the cost of computing power and data input/output across various databases, data lakes and other data platforms used across the enterprise and in the cloud. The Denodo platform’s new FinOps dashboard provides production operations and finance staff with views and reports on the various costs incurred across all analytical and operational data workloads managed by the system.

Democratize big data analytics and improve scalability cost-effectively. To achieve this, data processing workloads are optimized for performance and cost as data volumes grow. Denodo now offers embedded Massive Parallel Processing (MPP) capabilities based on Presto, the leading open source parallel SQL query engine, to improve performance when processing large amounts of data. Combined with other features designed to make it easier for business users to interact with data, such as: With features such as data catalog and generative AI integration, these MPP features give users the power of big data analytics without requiring SQL knowledge or advanced analytics.

Accelerate enterprise-wide data protection compliance. This simplifies the management of fine-grained access control policies. Data owners can now manage indirect access controls for derived views and control downstream access to their data products, which is critical for data sharing and multi-tenant implementations. Access policies can be based on the user’s client session details, enabling data sovereignty and other location-based compliance features. Finally, tags and security classifications can now be automatically synchronized by Collibra and other data governance tools.

“Companies are striving to implement more and more projects that include data sharing, analytics, generative AI and other functions, and they are adopting distributed data management principles such as data mesh and data fabric to increase the efficiency of existing resources to leverage, reduce risk and perform better analysis,” said Alberto Pan, Executive Vice President and Chief Technical Officer at Denodo. “The latest additions to the Denodo platform enable organizations to increase data security, leverage AI to improve self-service for business teams, and take control of FinOps to improve performance and bottom line.”