September 4, 2023
In this bonus episode, Eric and Kostas preview their upcoming conversation with Pardis Noorzad of General Folders.
September 4, 2023
In this bonus episode, Eric and Kostas preview their upcoming conversation with Pardis Noorzad of General Folders.
August 30, 2023
This week on The Data Stack Show, Eric and Kostas chat with Jakub Jurových, the Founder of Deepnote. During the conversation, the group discussed the role of notebooks in data science and engineering. They explore the history and purpose of notebooks, the challenges of collaboration in notebook workflows, the potential of notebooks in the AI revolution, the importance of interactive computational environments, and more.
August 28, 2023
In this bonus episode, Eric and Kostas preview their upcoming conversation with Jakub Jurových of Deepnote.
August 23, 2023
This week on The Data Stack Show, Eric and Kostas chat with Ken Fine, the CEO at Heap. During the conversation, the group discusses the unique auto track capabilities offered by Heap in the product analytics space. They also delve into Ken’s background, including his experience working on submarines and his transition to technology and startups. Ken explains the three elements of Heap’s solution framework, which include data capture, data science capabilities, and providing qualitative context. The conversation also covers the challenges faced by Heap in collecting and managing large volumes of data, their strategy and positioning in the market, the future of the data industry, integrating quantitative and qualitative data in product management and more.
August 21, 2023
In this bonus episode, Eric and Kostas preview their upcoming conversation with Ken fine of Heap.
August 16, 2023
This week on The Data Stack Show, Eric and Kostas chat with Chris Sell, Co-Founder and Co-CEO of GrowthLoop. During the conversation, Chris talks about how GrowthLoop enables marketers to build customer journeys directly on the data warehouse. The group explores the divide between engineering teams, data teams, and marketing, and how it is closing as more companies adopt the modern data stack. They also touch on the challenges and opportunities for data warehouse vendors in implementing reverse ETL, the potential for a centralized customer data platform, the role of AI in marketing, and more.
Each week weāll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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