August 25, 2021
This week on The Data Stack Show, Eric and Kostas get the chance to talk with Ananth Packkildurai, Zendesk’s principal data engineer and the author of the Data Engineering Weekly newsletter.
August 18, 2021
Kicking off season three of The Data Stack Show, Kostas and Eric converse with Ben Rogojan, perhaps better known as Seattle Data Guy. In addition to being a data engineer at Facebook, Ben is also a consultant for a number of smaller organizations and shares his insights on some of the unique issues data engineers face at companies with such a vast difference in scale.
August 11, 2021
The Data Stack Show just wrapped up Season Two and hosts Eric and Kostas are back to recap some of the biggest themes and trends from the past season.
August 4, 2021
This week on The Data Stack Show, Eric and Kostas are joined by Sven Balnojan, product owner (analytics) at Mercateo Gruppe and author of the recent article “How to Become The Next 30 Billion $$$ Data Company”. Their conversation focused on a comparison and contrast of Databricks and Snowflake and discussed what it takes for an open-source project to succeed when a whopping 98% of them fail.
July 28, 2021
This week on The Data Stack Show, Eric and Kostas chat with Arjun Narayan, co-founder and CEO at Materialize. Materialize is a streaming database for real-time applications and analytics that allows users to get extremely complicated and complex analytics answers in real-time on top of streams.
July 21, 2021
On The Data Stack Show this week, Eric and Kostas are joined by Ophir Prusak, head of growth at startup Codesmith, a boot camp for software engineers. For nearly a decade, Ophir has been the initial marketing hire for a number of startups and has a variety of experience working with open source tools. He contributes his thoughts on the open source ecosystem and offers perspective on data attribution and the resulting conversations between engineers and marketing.
Each week we’ll 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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