Latest Denodo Platform Enhancements
Welcome to the central resource for the latest enhancements to the Denodo Platform — your trusted solution for data integration, management, and delivery. As data complexity grows, so does our commitment to evolving our platform to meet your needs.
This page will inform you about our most recent feature additions, performance improvements, and capabilities. Whether you're a data engineer or a business leader, you'll find relevant information on recent updates to help you manage data more efficiently.
Bookmark this page for regular updates that will empower your data management processes and help you make more effective data-driven decisions.
At a high level, the recent enhancements include:
Self-service data product development
Trusted, accessible, generative AI features
The FinOps Dashboard, to more effectively manage and optimize cloud data costs
A new embedded MPP engine, to achieve unparalleled scalability
Advanced access controls, to accelerate enterprise-wide privacy compliance
Enhancements by user role
To make it easy to identify the most relevant updates, and quickly grasp how the latest changes benefit you in your role, we organized the enhancements by user role.
In today's fast-paced, ever-changing business environment, agility is not just a buzzword — it is a necessity. To remain competitive, organizations need to adopt an agile approach to data and analytics, empowering business users to become truly data-driven. The Denodo Platform's latest enhancements provide the capabilities necessary to navigate this complex landscape with greater flexibility and success.
Self-Service Data Product Development:
Business teams are empowered to own the authoring and delivery of their own data products. They can more freely collaborate and share data both within and outside the enterprise and reduce their dependency on central data teams to do this work. Business teams can shorten the time-to-market of new initiatives that drive revenue.
Self service: DC query wizard
Generative AI: NLP in Data Catalog
Trusted, Accessible, Generative AI Features:
Business teams can ensure that AI projects, including generative AI projects, deliver trustworthy and ethical outcomes through a strong foundation of reliable and trustworthy data. They can deliver those projects to a broader population of business users with greater ease, and the business users can now interact with their data in plain human language. Business users can trust the results because they are based on a shared, common layer of well-governed, high-quality data.
Manage and Optimize Cloud Data Costs with the FinOps Dashboard:
You can now control costs and optimize workloads, including compute and data ingress/egress costs, throughout the enterprise and in the cloud through a common dashboard continually updated with current cost and consumption data. Your cloud bill is predictable, your finance and operations teams have full visibility, and you can proactively optimize and control where – and by how much – these expenses are paid.
Denodo Query Report
Embedded MPP: architecture
Achieve Unparalleled Scale, with the New Embedded MPP Engine:
With an embedded compute cluster, you can optimize data processing workloads for performance and cost, even as data volumes grow to massive scales. As the data needs of your business teams grow, they will not need to worry about reduced performance and unpredictable costs.
Accelerated, Enterprise-Wide Privacy Compliance, with Advanced Access Controls:
Governance teams can now manage fine-grained access control policies at scale, for enterprise-wide projects. They can also implement access policies on data for sharing and multi-tenant usage, implement policy-based and location-based access control, and manage access requests more efficiently. Business users can get access to the data they need to do their jobs, much more quickly, accelerating their data-centric projects while ensuring compliance with data security and data privacy policies.
Global Security Policy
As business needs intensify for data-driven insights, the technology team faces the challenging balancing act of cost control, scalable performance, and stringent compliance. With our latest enhancements, you can unlock unprecedented levels of efficiency and responsiveness.
Self-Service Data Product Development:
Minimize the business team's dependency on the data team for every new request. Now, business users can initiate access requests and even author or extend datasets directly within the data catalog. This shift enables business teams to take charge of their own data products, freeing IT to focus on innovation so they can serve as a "center of excellence" for advising and training business-side "citizen" data practitioners.
Self Service: integrated shell in Data Catalog
Generative AI: NLP in Data Catalog
Trusted, Accessible, Generative AI Features:
Business teams are eager to tap into generative AI for new projects but often stumble over the "garbage-in, garbage-out" issue due to unreliable data. A foundation of clean, current, and relevant data is essential for ethical and accurate AI outcomes. The Denodo Platform's latest update includes seamless integration with ChatGPT and other generative AI platforms, enabling business users to query Denodo Platform-managed data using natural language to get the answers they need without writing queries. This streamlines the initiation of new AI projects.
Manage and Optimize Cloud Data Costs with the FinOps Dashboard:
As you grapple with escalating data volumes and fluctuating workloads, mastering your cloud costs has never been more critical. The Denodo Platform's newly introduced FinOps Dashboard provides comprehensive tracking and analysis of cloud computing and data transfer costs across various databases, data lakes, and platforms. This enables your team to fine-tune workloads and educate users on query best practices, turning unexpected cloud expenses into optimized, controlled costs.
Denodo FinOps Report
Embedded MPP: architecture
Achieve Unparalleled Scale, with the New Embedded MPP Engine:
Exploding data volumes are challenging your ability to optimize data processing workloads for both performance and cost. The Denodo Platform now includes an embedded MPP cluster based on Presto, providing another option for running workloads on massive data sets. As the business teams’ data volumes grow, they will not have to worry about reduced performance and unpredictable costs. As with with other features intended to facilitate business user interaction with data, such as the data catalog and generative AI integration, Denodo brings the power of big data analytics to such users, without requiring knowledge of SQL or advanced analytics.
Accelerated, Enterprise-Wide Privacy Compliance, with Advanced Access Controls:
the demand for data-driven projects grows both within and outside your organization, so does the complexity of complying with various data privacy regulations. Denodo continues to invest in features that empower users with the timely, compliant data they need:
- Quicken the response time to data access requests with embedded workflow management features, boosting productivity for both IT and business users.
- Customize access policies to include client-specific attributes such as IP addresses, department affiliations, and physical locations, aiding in compliance with data sovereignty and location-based regulations.
- Define multi-tier access policies for views that are based on other underlying views. This enables business teams to create their own data products with unique access requirements for various downstream users, enhancing data sharing with external partners and customers.
- Automatically synchronize security tags and classifications with governance tools like Collibra, with a user-friendly wizard accessible through Design Studio. This streamlines the application of policy-based access control (PBAC) to your underlying data. As a result, you can now effortlessly operationalize the security governance policies you have already established in your governance tools.
Global Security Policy
Denodo is announcing new enhancements to the Denodo Platform that further improve end-user and administrator productivity and streamline the delivery of new use cases.
Self-Service Data Product Development:
The latest updates enhance user self-sufficiency and streamline data product development with the following new capabilities:
- To maintain a competitive edge, business teams require swift decision-making and a collaborative and self-sufficient approach to data. Data Access Request workflows, directly within the Denodo Data Catalog amplifies this by fostering seamless collaboration and full-loop feedback between data users and owners. Now, users can request access, articulate their data needs, or pose questions, all within the Denodo environment. This enables data owners to rapidly respond to these requests while maintaining oversight of data usage, creating a feedback-rich, efficient data ecosystem.
- Data users can author, deliver, and share their datasets directly within the Denodo Data Catalog, with drag & drop view creation wizards and an embedded SQL shell. This significantly improves the productivity of data product development, enabling users to find relevant data views and then extend and publish directly within the catalog.
Self-Service: Requests
Generative AI: NLP in Data Catalog
Trusted, Accessible, Generative AI Features:
With new pre-built integrations with ChatGPT and Azure OpenAI, data users can now use normal human language when interacting with datasets governed and delivered by the Denodo Platform. This enables a whole new population of users in the organization to become data users – those who don’t know SQL, how to code, or use BI or other analytics client tools – so they can discover and perform analytics in their natural language, using the power of generative AI.
Manage and Optimize Cloud Data Costs with the FinOps Dashboard:
The Denodo Platform now includes the FinOps Dashboard, which provides Denodo administrators, including production operations and finance staff, with views and reports of the costs incurred. This includes compute and egress costs from all analytic and operational data workloads the Denodo Platform manages. Administrators now have better visibility and control of costs incurred and can optimize workloads to better control them.
Denodo query Reports
Embedded MPP: architecture
Achieve Unparalleled Scale, with the New Embedded MPP Engine:
Exploding data volumes are challenging your ability to optimize data processing workloads for both performance and cost. The Denodo Platform now includes an embedded MPP cluster based on Presto, providing another option for running workloads on massive data sets. As the business teams’ data volumes grow, they will not have to worry about reduced performance and unpredictable costs. As with with other features intended to facilitate business user interaction with data, such as the data catalog and generative AI integration, Denodo brings the power of big data analytics to such users, without requiring knowledge of SQL or advanced analytics.
Accelerated, Enterprise-Wide Privacy Compliance, with Advanced Access Controls:
The latest updates to the Denodo Platform introduce sophisticated access controls that adapt to complex, multi-faceted requirements. Here's how:
- Data owners can now set and manage indirect access controls for derived views, providing granular control over downstream data product and data share access. This is especially significant in scenarios like multi-tenant deployments and data mesh implementations, in which varying access control policies are required for multiple downstream consumers.
- Access controls can now be based on client sessions, enabling tailored access policies based on user session details, such as device type and location. This empowers administrators and data privacy specialists to enforce more nuanced access guidelines, enhancing compliance with location-specific data privacy laws and regulations.
- Automatic synchronization of tags and security classifications, such as personally identifiable information (PII) data, is now available from Collibra and similar data governance platforms. This creates a strong security framework in which data stewards can set classifications in governance tools, while the Denodo Platform will enforce those policies during data delivery, for example, by filtering query results based on these classifications.
Global Security Policy
In today's fast-paced, ever-changing business environment, agility is not just a buzzword — it is a necessity. To remain competitive, organizations need to adopt an agile approach to data and analytics, empowering business users to become truly data-driven. The Denodo Platform's latest enhancements provide the capabilities necessary to navigate this complex landscape with greater flexibility and success.
Self-Service Data Product Development:
Business teams are empowered to own the authoring and delivery of their own data products. They can more freely collaborate and share data both within and outside the enterprise and reduce their dependency on central data teams to do this work. Business teams can shorten the time-to-market of new initiatives that drive revenue.
Self service: DC query wizard
Generative AI: NLP in Data Catalog
Trusted, Accessible, Generative AI Features:
Business teams can ensure that AI projects, including generative AI projects, deliver trustworthy and ethical outcomes through a strong foundation of reliable and trustworthy data. They can deliver those projects to a broader population of business users with greater ease, and the business users can now interact with their data in plain human language. Business users can trust the results because they are based on a shared, common layer of well-governed, high-quality data.
Manage and Optimize Cloud Data Costs with the FinOps Dashboard:
You can now control costs and optimize workloads, including compute and data ingress/egress costs, throughout the enterprise and in the cloud through a common dashboard continually updated with current cost and consumption data. Your cloud bill is predictable, your finance and operations teams have full visibility, and you can proactively optimize and control where – and by how much – these expenses are paid.
Denodo Query Report
Embedded MPP: architecture
Achieve Unparalleled Scale, with the New Embedded MPP Engine:
With an embedded compute cluster, you can optimize data processing workloads for performance and cost, even as data volumes grow to massive scales. As the data needs of your business teams grow, they will not need to worry about reduced performance and unpredictable costs.
Accelerated, Enterprise-Wide Privacy Compliance, with Advanced Access Controls:
Governance teams can now manage fine-grained access control policies at scale, for enterprise-wide projects. They can also implement access policies on data for sharing and multi-tenant usage, implement policy-based and location-based access control, and manage access requests more efficiently. Business users can get access to the data they need to do their jobs, much more quickly, accelerating their data-centric projects while ensuring compliance with data security and data privacy policies.
Global Security Policy
As business needs intensify for data-driven insights, the technology team faces the challenging balancing act of cost control, scalable performance, and stringent compliance. With our latest enhancements, you can unlock unprecedented levels of efficiency and responsiveness.
Self-Service Data Product Development:
Minimize the business team's dependency on the data team for every new request. Now, business users can initiate access requests and even author or extend datasets directly within the data catalog. This shift enables business teams to take charge of their own data products, freeing IT to focus on innovation so they can serve as a "center of excellence" for advising and training business-side "citizen" data practitioners.
Self Service: integrated shell in Data Catalog
Generative AI: NLP in Data Catalog
Trusted, Accessible, Generative AI Features:
Business teams are eager to tap into generative AI for new projects but often stumble over the "garbage-in, garbage-out" issue due to unreliable data. A foundation of clean, current, and relevant data is essential for ethical and accurate AI outcomes. The Denodo Platform's latest update includes seamless integration with ChatGPT and other generative AI platforms, enabling business users to query Denodo Platform-managed data using natural language to get the answers they need without writing queries. This streamlines the initiation of new AI projects.
Manage and Optimize Cloud Data Costs with the FinOps Dashboard:
As you grapple with escalating data volumes and fluctuating workloads, mastering your cloud costs has never been more critical. The Denodo Platform's newly introduced FinOps Dashboard provides comprehensive tracking and analysis of cloud computing and data transfer costs across various databases, data lakes, and platforms. This enables your team to fine-tune workloads and educate users on query best practices, turning unexpected cloud expenses into optimized, controlled costs.
Denodo FinOps Report
Embedded MPP: architecture
Achieve Unparalleled Scale, with the New Embedded MPP Engine:
Exploding data volumes are challenging your ability to optimize data processing workloads for both performance and cost. The Denodo Platform now includes an embedded MPP cluster based on Presto, providing another option for running workloads on massive data sets. As the business teams’ data volumes grow, they will not have to worry about reduced performance and unpredictable costs. As with with other features intended to facilitate business user interaction with data, such as the data catalog and generative AI integration, Denodo brings the power of big data analytics to such users, without requiring knowledge of SQL or advanced analytics.
Accelerated, Enterprise-Wide Privacy Compliance, with Advanced Access Controls:
the demand for data-driven projects grows both within and outside your organization, so does the complexity of complying with various data privacy regulations. Denodo continues to invest in features that empower users with the timely, compliant data they need:
- Quicken the response time to data access requests with embedded workflow management features, boosting productivity for both IT and business users.
- Customize access policies to include client-specific attributes such as IP addresses, department affiliations, and physical locations, aiding in compliance with data sovereignty and location-based regulations.
- Define multi-tier access policies for views that are based on other underlying views. This enables business teams to create their own data products with unique access requirements for various downstream users, enhancing data sharing with external partners and customers.
- Automatically synchronize security tags and classifications with governance tools like Collibra, with a user-friendly wizard accessible through Design Studio. This streamlines the application of policy-based access control (PBAC) to your underlying data. As a result, you can now effortlessly operationalize the security governance policies you have already established in your governance tools.
Global Security Policy
Denodo is announcing new enhancements to the Denodo Platform that further improve end-user and administrator productivity and streamline the delivery of new use cases.
Self-Service Data Product Development:
The latest updates enhance user self-sufficiency and streamline data product development with the following new capabilities:
- To maintain a competitive edge, business teams require swift decision-making and a collaborative and self-sufficient approach to data. Data Access Request workflows, directly within the Denodo Data Catalog amplifies this by fostering seamless collaboration and full-loop feedback between data users and owners. Now, users can request access, articulate their data needs, or pose questions, all within the Denodo environment. This enables data owners to rapidly respond to these requests while maintaining oversight of data usage, creating a feedback-rich, efficient data ecosystem.
- Data users can author, deliver, and share their datasets directly within the Denodo Data Catalog, with drag & drop view creation wizards and an embedded SQL shell. This significantly improves the productivity of data product development, enabling users to find relevant data views and then extend and publish directly within the catalog.
Self-Service: Requests
Generative AI: NLP in Data Catalog
Trusted, Accessible, Generative AI Features:
With new pre-built integrations with ChatGPT and Azure OpenAI, data users can now use normal human language when interacting with datasets governed and delivered by the Denodo Platform. This enables a whole new population of users in the organization to become data users – those who don’t know SQL, how to code, or use BI or other analytics client tools – so they can discover and perform analytics in their natural language, using the power of generative AI.
Manage and Optimize Cloud Data Costs with the FinOps Dashboard:
The Denodo Platform now includes the FinOps Dashboard, which provides Denodo administrators, including production operations and finance staff, with views and reports of the costs incurred. This includes compute and egress costs from all analytic and operational data workloads the Denodo Platform manages. Administrators now have better visibility and control of costs incurred and can optimize workloads to better control them.
Denodo query Reports
Embedded MPP: architecture
Achieve Unparalleled Scale, with the New Embedded MPP Engine:
Exploding data volumes are challenging your ability to optimize data processing workloads for both performance and cost. The Denodo Platform now includes an embedded MPP cluster based on Presto, providing another option for running workloads on massive data sets. As the business teams’ data volumes grow, they will not have to worry about reduced performance and unpredictable costs. As with with other features intended to facilitate business user interaction with data, such as the data catalog and generative AI integration, Denodo brings the power of big data analytics to such users, without requiring knowledge of SQL or advanced analytics.
Accelerated, Enterprise-Wide Privacy Compliance, with Advanced Access Controls:
The latest updates to the Denodo Platform introduce sophisticated access controls that adapt to complex, multi-faceted requirements. Here's how:
- Data owners can now set and manage indirect access controls for derived views, providing granular control over downstream data product and data share access. This is especially significant in scenarios like multi-tenant deployments and data mesh implementations, in which varying access control policies are required for multiple downstream consumers.
- Access controls can now be based on client sessions, enabling tailored access policies based on user session details, such as device type and location. This empowers administrators and data privacy specialists to enforce more nuanced access guidelines, enhancing compliance with location-specific data privacy laws and regulations.
- Automatic synchronization of tags and security classifications, such as personally identifiable information (PII) data, is now available from Collibra and similar data governance platforms. This creates a strong security framework in which data stewards can set classifications in governance tools, while the Denodo Platform will enforce those policies during data delivery, for example, by filtering query results based on these classifications.
Global Security Policy
