The Data Lakehouse Blueprint
The Missing Layer for Your Lakehouse
A lakehouse stores and processes. It doesn’t govern, standardize semantics, or deliver at scale. Denodo does.
One semantic layer. Defined once. Reused by every team, tool, and AI model.
Real-time, governed data from across the enterprise. Not just what lives in the lake.
No tickets. No bottlenecks. Business users access trusted data directly, governance intact.
Less replication. Lower compute costs. More value from your existing investments.
Trusted, AI-ready data. No forced replication. No architecture rebuild. Works with your existing stack.
Real organizations. Real results.
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Denodo helps Energy and utilities organisations to integrate any and all types of data across different sources, platforms and lakes.
This combined resource makes data easy to manage from a singular view, helping you deliver the right insights, use business intelligence and data science tools, and share it securely through APIs.
We empower energy & utilities organizations to be…
Leveraging complex and nuanced data landscapes across a multitude of touchpoints to drive grid/network transparency, adaptability, and flexibility
Ensuring accuracy, clarity, and compliance in an industry that is continuously evolving as well as under immense demand, innovation, and sustainability pressures
Maximizing all potential operational gains in terms of cost and time across new and existing grid/network management and customer databases
Wherever you’re building - learn about trusted data from trusted voices
Alberto Pan, CTO
Read Alberto's GenAI Q&A: What Every Data Leader Needs to Know
Paul Moxon, Chief Evangelist
Terry Dorsey, AI Evangelist
Let Terry take you on a deep dive into data fabric and GenAI!Lorem ipsum dolor sit amet, consectetur adipiscing elit.
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See it in action: unified governance, real-time data, AI agents and BI tools, all connected.
Native to Unity Catalog, Delta Lake, Iceberg, and Parquet. No pipeline rebuilds.
Blog Post
From Ego-centric To Eco-centric: Future-Proofing Energy and Utilites Operations
Whitepaper
The Value of Using a Logical Approach to Data Management in Energy and Utilities
Blog Post
From Ego-centric To Eco-centric: Future-Proofing Energy and Utilites Operations
Whitepaper
The Value of Using a Logical Approach to Data Management in Energy and Utilities
Your Data Lakehouse handles large-scale analytics, data science, and batch workloads well. But as AI initiatives mature, the same realization surfaces:
"We don't have a lakehouse problem. We have a data access and data trust problem."
AI agents require live operational state, historical analytical context, and business semantics, all at once. Your lakehouse covers one of those three. The other two still live across operational systems, SaaS platforms, and distributed sources that were never loaded into the lake.
The winning architecture does not replace the lakehouse. It complements it.
The Data Lakehouse Blueprint shows what that looks like, and what becomes possible when both work together.
Independent research by Veqtor8 documented 3–4× faster time-to-insight and 75% less engineering effort across enterprises that made the shift.
If you believe your data strategy should deliver on its promise to the business, not just to the data team, you're in the right place.
— Consulting Database Analyst II in the Transportation Industry
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