Let’s dive into the world of data mesh

The Data Virtualization Summer Book Club is here to help you explore the future of distributed data, connecting sources, regions and clouds with decentralised access and ownership.

Sign up today and receive a free digital copy of Zhamak Dehghani’s Data Mesh: Delivering Data-Driven Value at Scale. Read it cover-to-cover for a practical introduction to the principles underpinning data mesh and learn how to:

  • Design a data mesh architecture
  • Develop and execute a data mesh strategy
  • Implement a decentralised data ownership model
  • Go beyond traditional data warehouses and lakes to a distributed data mesh

Then, join our experts and your peers to discuss in our four-part series. Schedule below.

And that’s just the beginning…

Registration also gives you access to members only data mesh events, exclusive content and more free books!

*We’re offering a free hardback copy of Deghani’s book for the first 50 people that register for the book club.

Join the Data Mesh Summer Book Club + Get Free Book!


Book Club Meetings

June 25th @ 8am PDT/ 11am EDT/ 4pm BST/ 5pm CEST

Parts 1: Why data virtualization facilitates the discovery and access of data products

Data virtualization addresses key limitations of traditional data warehouse architectures by facilitating fast access to and discovery of data products, bridging the gap between data preparation and consumption. 


Traditional processes, characterized by extensive data curation efforts, often result in significant delays and loss of critical data context during hand-offs, hindering organizational agility and degrading the value of data over time. The data product philosophy emerges as a solution, treating datasets as comprehensive products with emphasis on documentation, maintenance, and discoverability. 


Unlike traditional warehousing, data products are managed independently, fostering decentralization. By registering these products with a Data Virtualization (DV) System, enterprises can easily access and query a virtual marketplace of data products, enhancing operational efficiency and innovation. This approach not only simplifies data management but also incentivizes continuous improvement and maintenance of data assets.

Adrian Estala
Vishal Singh
Daniel Abadi
July 16th @ 8am PDT/ 11am EDT/ 4pm BST/ 5pm CEST

Part 2: How data virtualization enables the lakehouse to reach its potential

Data virtualization enhances the capabilities of data lakehouses, combining the best of data lakes and data warehouses, by enabling comprehensive data access and analysis across an organization. 


Traditionally, data lakehouses merged the flexible storage and cost-efficiency of data lakes with the high-performance analytics of data warehouses but were limited to querying data within their own systems. The adoption of data virtualization overcomes this limitation, allowing data from external systems and traditional databases to be integrated and analyzed seamlessly within the lakehouse environment. 


This approach not only broadens the range of accessible data for analysis but also optimizes performance by dynamically selecting the most efficient query engine for specific tasks, leveraging advanced technologies like Trino. 


Consequently, data virtualization propels data lakehouses toward realizing their full potential as a holistic, efficient, and cost-effective platform for comprehensive data analysis, maximizing the strategic use of data assets across organizations.

Adrian Estala
Tom Nats
Daniel Abadi

Adrian Estala

VP, Data Mesh Consulting Services

Vishal Singh

Director, Outbound Products

Tom Nats

Director, Solutions

Daniel Abadi

Professor of Computer Science, University of Maryland

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