October 28, 2020
In this episode of The Data Stack Show, hosts Kostas Pardalis and Eric Dodds talk with Nicholas Ziech-Lopez, director of product strategy at MessageGears. MessageGears is designed to reduce data friction for marketers by connecting directly to a brandās data source and using their live data. This episode centered around the world of CDPs and where MessageGears fits in that space.
October 21, 2020
This weekās episode of The Data Stack Show features a conversation with hosts Kostas Pardalis and Eric Dodds and guest Jack Naglieri, founder and CEO of Panther Labs. Panther, a San Francisco-based startup, is an open platform that helps security teams detect and respond to breaches in cloud-native environments, providing a modern alternative to traditional SIEMs.
October 14, 2020
On this weekās episode of The Data Stack Show, Kostas Pardalis and Eric Dodds are joined by CTO and Co-Founder of Holistics, Huy Nguyen. Holistics takes an approach to business intelligence and data analytics that they call DataOps. They focus on data team productivity and company-wide access to insights.
October 7, 2020
On this weekās episode of The Data Stack Show, Kostas Pardalis and Eric Dodds are joined by Slapdash co-founder Ivan Kanevski. Slapdash describes itself as the operating system for work. Slapdash emphasizes reducing the time people spend controlling their computer in relation to the time they spend expressing their intent.
September 30, 2020
In this weekās episode of The Data Stack Show, Kostas Pardalis and Eric Dodds chat with Mason Stewart, the lead engineer at Bookshop.org. Bookshop is an online bookstore with a mission to financially support local, independent bookstores. Their hope is to help strengthen the fragile ecosystem and margins around bookselling and keep local bookstores an integral part of our culture and communities.
September 23, 2020
In this weekās episode of The Data Stack Show, Kostas Pardalis and Eric Dodds connect with IFTTT data scientist Peter Darche. IFTTT is a free platform that helps all your products and services work better together through automated tasks. Their discussion covered a lot of ground involving their data stack, their use cases, and clearing up once and for all how to pronounce the companyās name.
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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