Zhamak Dehghani
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Director, Emerging Technologies, North America
ThoughtWorks |
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Zhamak Dehghani works with ThoughtWorks as the director of emerging technologies in North America, with a focus on distributed systems and data architecture, and a deep passion for decentralized technology solutions: data mesh, decentralized trust and identity, and networking.
She founded in the concept of data mesh in 2018 and since has been evangelizing the concept with the wider industry. She is a member of ThoughtWorks Technology Advisory Board and contributes to the creation of ThoughtWorks Technology Radar. Zhamak has worked as a software engineer and architect for over 20 years and has contributed to multiple patents in distributed computing communications, as well as embedded device technologies.
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Workshop: An introduction to Data Mesh: a paradigm shift in analytical data management
Companies have been chasing the dream of data democratization, unlocking and accessing data to serve their customers and business, for over a half a century from early days of data warehousing. They have been materializing this dream through multiple generations of technologies, such as data warehouse and data lake, through a cambrian explosion of tools and a large amount of investments to build their next data platform. Despite the intention and the investments the results have been middling.
In this workshop Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This workshop introduces the principles underpinning data mesh and a path to bring data mesh to life in your organization.
In this workshop Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This workshop introduces the principles underpinning data mesh and a path to bring data mesh to life in your organization.