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Zhamak Dehghani

Thoughtworks alumnus and author of O''Reilly''s Data Mesh: Delivering Data Driven Value at Scale. Expert in data mesh.

Top 5 podcasts with Zhamak Dehghani

Ranked by the Snipd community
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40 snips
Sep 7, 2022 • 1h 28min

Three Must Read Data and Analytics Books with Tim Harford, Zhamak Dehghani, and Brent Dykes

It is once again that time of year when our host, Cindi Howson shares her favorite data and analytics book recommendations. In this special annual episode, we feature three of the industry’s top data writers, thinkers, and fellow podcasters. Tim Harford comes to the conversation with his new book, The Data Detective, and big-picture ideas about how traits like curiosity serve data scientists so well. Zhamak Dehghani shares her concept of The Data Mesh, especially as it relates to sharing data across business verticals. Finally, in his book, Effective Data Storytelling, Brent Dykes compels readers to think carefully about the way they craft the message or narrative around the data they’re interpreting. Tune in to learn:Making sense of the world through a data lens with Tim Harford (05:18)Tim’s favorite of the ten data commandments (07:11)Guard against using data as a control mechanism (15:14)How does curiosity create a healthier relationship with data? (19:57) Data Mesh with Zhamak Dehghani (32:31)Blending centralized and decentralized schools of thought (36:39)Data Mesh isn’t for everyone (48:11)How do you begin your data mesh transformation? (53:28)Brent Dykes and the importance of data storytelling (1:02:17)Why do data scientists need to be better communicators? (1:11:13)The Venn diagram of data storytelling (1:15:14)Mentions:The Data Detective: Ten Easy Rules to Make Sense of Statistics by Tim Harford Data Mesh: Delivering Data-Driven Value at Scale by Zhamak Dehghani Effective Data Storytelling: How to Drive Change with Data, Narrative, and Visuals by Brent Dykes Get even more insights from data and analytics leaders like Tim, Zhamak, and Brent on The Data Chief. Mission.org is a media studio producing content for world-class clients. Learn more at mission.org. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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Dec 15, 2022 • 50min

Data Mesh revisited

Zhamak Dehghani, a Thoughtworks alumnus and the author of O'Reilly's 'Data Mesh: Delivering Data Driven Value at Scale', joins Emily Gorcenski, Service line leader for data and AI in Thoughtworks, Germany. They delve into the evolution of Data Mesh, emphasizing the shift from centralized data to decentralized approaches. The pair discusses the importance of domain-oriented ownership and addresses challenges in governance and implementing change. They also highlight the vital role of user engagement in designing effective data products.
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Sep 9, 2024 • 51min

The State of Data Mesh 2024 – with Zhamak Dehghani, Nextdata

Zhamak Dehghani, Gründerin und CEO von NextData sowie Erfinderin des Data Mesh Konzepts, spricht über die Entwicklung und Herausforderungen von Data Mesh. Sie erklärt, wie die Dezentralisierung des Datenmanagements es Unternehmen erleichtern kann, den vollen Wert ihrer Daten auszuschöpfen. Außerdem wird die Bedeutung von Technologie und Unternehmenskultur für die erfolgreiche Implementierung hervorgehoben. Zhamak stellt auch die Notwendigkeit vor, technologische Standards zu vereinfachen und Datenkomplexität durch innovative Ansätze zu reduzieren.
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Jun 12, 2024 • 59min

#175 - Zhamak Dehghani + Summer Break 2024 Episode

Special guest Zhamak Dehghani joins the hosts to discuss the current state of Data Mesh and her work at NextData. They explore challenges in AI safety, data curation practices, and the evolution of data hype. The conversation also touches on innovations in the data industry, the future of semantic layers, and upcoming events and product launches. The hosts wrap up with casual conversations about summer break plans and tease exciting future podcast episodes.
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Sep 13, 2022 • 51min

609: Data Mesh

Zhamak Dehghani, the empathetic technologist behind 'data mesh', discusses its significance, challenges, and connection to Web3. They explore autonomy, decentralized data handling, and the futuristic shift in data architectures.