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With its widespread popularity and success in the e-commerce industry, it is difficult to imagine anyone who has not at least heard of Shopify. This episode features Marc Laforet, a senior data engineer at Shopify, who shares his journey of how he transitioned from being a biochemist to a data engineer at Shopify. Marc explains the type of data Shopify works with, which is diverse in format and comes from different sources, and how the company determines which tools to build to extract the most value from the data. Marc also discusses data governance and explains two possible architectures: a gating process or a trust-but-verify approach.
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Lauren Balik, who runs Upright Analytics and is a leading data consultant and investor, discusses why she believes the modern data stack is flawed and the three factors that affect the cost of a data platform. Balik also compares building versus buying a data platform and recommends an OLAP databas…
With the introduction of the Data Mesh concept a lot of people are trying to wrap their heads around the term, In the latest episode of the Modern Data Show, Colleen Tartow Director Of Engineering at Starburst Data provides a comprehensive explanation of what data mesh actually is, the socio-techni…
Ian Macomber, Head of Analytics Engineering & Data Science at Ramp, discusses the company's approach to automating finance tools and building the next generation of finance through data-driven decision-making. Macomber emphasizes the importance of cross-functional collaboration and embedding th…
Urban Sports Club, a company that connects fitness enthusiasts started their data journey when they realised treating data as a product instead of a by-product could help them unlock the value of data. In the latest episode of the Modern Data Show, we are joined by Artur Yatsenko, Head of Data Plat…
إخلاء المسؤولية: البودكاست والأعمال الفنية المضمنة في هذه الصفحة مأخوذة من Modern Data Stack، وهي مملوكة لمالكها وليست تابعة لشركة Listen Notes, Inc أو معتمدة منها.
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