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Join us for Datanova 2024, October 23-24th. We'll be discussing advancing analytics with Open Data Lakehouse innovations.
Learn moreColleen Tartow, Ph.D. has over 20 years of experience in data, advanced analytics, engineering, consulting, and she has been obsessed with data her entire life. Adept at assisting organizations in deriving value from a data-driven culture, she has successfully led large data, engineering, and analytics teams through the development of complex global data management solutions, and architecting front- and back-end SaaS and enterprise data systems. Colleen is also experienced in building and leading diverse teams through business reorganization and transforming existing data ecosystems, maturing them into modern and robust technology stacks. She is determined to make engineering organizations better for both humans and business through mentoring, leadership, and streamlining processes. Her demonstrated excellence in data and engineering leadership makes her a trusted senior advisor among executives, and her work has led to her speaking at a variety of events in the technology leadership space, and mentoring aspiring leaders in data, analytics, and technology. Data Mesh For Dummies, by Colleen Tartow, Ph.D., Andy Mott, MBA, Adrian Estala
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Data engineers have typically functioned as a central hub for engineering tasks. They work with multiple departments and business units across the enterprise. But as the decentralized, data-product-driven architecture of the data mesh approach becomes more popular, and more organizations find themselves on this decentralization journey, what happens to that centralized data team?
Recently we co-authored the book Data Mesh For Dummies, along with our colleague Adrian Estala. We greatly enjoyed writing the book and collaborating to...
With the rising popularity of Data Mesh, risk management and compliance best practices should be integrated when a business adopts this robust data management...
The key to success for any company is deriving business value from data in a robust, scalable, and timely fashion. A huge part of...
Data Mesh is based on four central concepts, the fourth of which is federated computational governance. In this blog, we’ll explore what that means...
Data Mesh is based on four central concepts, the third of which is self-service data infrastructure. In this blog, we’ll explore what that means...
Data Mesh is based on four central concepts, the second of which is data as a product. In this blog, we’ll explore what that...
A data mesh architecture is based on four central concepts, the first of which is domain-oriented ownership. In this blog, we’ll explore what that...
Many data and analytics practitioners have heard about this socio-technical paradigm shift, Data Mesh, and would like to learn more. But before describing what...
One year ago, I was one of five new hires that started on the same day at Starburst. We recently took a moment to...
Here at Starburst, we are thrilled to be bringing you our latest offering, Starburst Galaxy. This product brings the power of Starburst Enterprise to...
Starburst recently announced a $42M Series B, and we are lucky enough to be having a major growth spurt. At the same time, we...
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