The Data Stack Show

Highlights from this week’s conversation include: Bart’s journey from southern California, to New York, to Egypt, to London, to Spain (3:31) Exposure to different communities and finding shared language and experience (10:21) Looking back at early online communities and how they furthered your learning journey (27:50) How the level of niche-ness impacts a community (44:06) The cautionary tale of W...

Highlights from this week’s conversation include: James’ background at Microsoft and current work with EY’s data fabric (2:22) The external and internal facing components of EY’s data fabric (6:39) The importance of the data lineage (11:29) The most important requirements for data quality (15:32) Looking at the data capabilities of Microsoft (21:30) The data warehouse, explained (29:00) Using a da...

Topics in this wide-ranging conversation include:  Tristan’s background with Cloudera and the need for continual operational ML and AI (3:15) How the complexity of Continual is hidden behind a simplicity of use (14:48) Focusing on data that lives within a data warehouse (18:43) Understanding features in the ML conversation (22:47) The three layers of Continual (26:11) The importance of SQL to Cont...

Highlights from this week’s episode: Ananth’s background (2:51) The evolution of Slack (4:54) Kafka and Presto’s two of the most reliable and flexible tools for Ananth (9:43) How Snowflake gained an advantage over Presto (13:24) Opinions about data lakes (17:23) Core features of data infrastructure (23:22) The tools define the process, and not the other way around (31:30) Defining a data mesh (36:...

Topics in this conversation include:  Ben's background and his shift to data engineering (2:19) Trends in the data space: finding the most efficient tools, the Snowflake phenomenon, and keeping up with new functionalities (5:33) Key differences in data practices in small companies and Facebook-sized companies (12:38) Having to build tools specifically designed for Facebook because of SaaS product...

Highlights from this week’s episode: Dissecting the different team structures from organizations in season two (1:16) The people behind the data are key to the data itself (9:17) Open source licensing and the core components needed for large scale commercial viability (15:13) Game-changing core technologies in the new data economy (22:09) Snowflake vs. Databricks battle. "The UFC of Geeks" (25:54)...

Highlights from this week’s episode include: Sven's Ph. D. in Singularity Theory (2:59) The Databricks vs. Snowflake conversation (8:17) The difficulty of not just inventing something new, but making it accessible (18:01) Databricks and unstructured data (22:22) Organizational change responding to technological change (29:27) The three-dimensional evolution of a successful open source project (40:...

Highlights from this week’s episode include: Introducing Arjun and how he fell in love with databases (2:51) Looking at what Materialize brings to the stack (5:28) Analytics starts with a human in the loop and comes into its own when analysts get themselves out and automate it (15:46) Using Materialize instead of the materialized view from another tool (18:44) Comparing Postgres and Materialize an...

Highlights from today's conversation include: Ophir's decision to switch from software engineering to marketing and riding the startup train (2:39) Open sourcing in the world of software (5:55) How open source has changed Ophir's life as a marketeer working at startups (10:28) Chartio's sunsetting drove Ophir to search for a data tooling replacement (27:27) Discussing trends in adoption of tools f...

Highlights from this week's episode:  Ruben's background (2:36) Massive shifts in data caused by COVID (4:47) Big Tech is no longer untouchable (9:54) Accelerations in the BI space (15:17) A focus on people and on trust (23:43) Numbers are filtered by the biases of the people viewing them (28:46) AI trends and adoption (38:06) Using qualitative data for insights, particularly at early stages (40:5...

Highlights from this week's episode: Sokratis' realization that big corporations were not the best thing for him (2:56) Transitioning for Workable to Clerk.dev (3:40) Convincing developers to outsource components to a service (9:36) Clerk's layered solutions and how it affects the developer and the end-user (12:41) Starting with Clerk from scratch vs. using Clerk to replace an existing component (...

Highlights from this week’s episode include: Ryan's full circle path from stocking shelves at Target to using data science for a company owned by Target (2:00) Building great tools and wielding them effectively (5:04) Changes at Shipt since being acquired (9:29) How people’s bias impacts models built by data scientists (12:30) The different data sources Shipt incorporates (22:02) How Ryan's work a...

Highlights from this week’s episode: Joshua started his first company at age 15 and then sold two more startups after that (2:15) Embracing the open source movement and not reinventing the wheel if you don't have to (12:15) Pulsar seemed built to address Kafka's weaknesses (17:23) Using Redis as a coordinator for federated learning and taking advantage of its portability (23:05) The pillars of Pan...

Highlights from this week’s episode include: Launching Affinio and the engineering backgrounds of the co-founders (2:36) The massive transformation in customer data privacy regulation in the past eight years (6:23) Creating the underpinning technology that can apply to any customer behavioral data set (10:05) Ranking and scoring surfing patterns and sorting nodes and edges (14:13) Placing the impo...

Highlights from this week’s episode include: Meroxa is a real-time data engineering managed platform (4:53) Use cases for CDC (6:20) Meroxa leverages open source tools to provide initial snapshots and start the CDC stream (12:29) Making the platform publicly available (14:14) What the Meroxa user experience looks like (16:10) Raising Series A funding (17:49) Easiest and most difficult data sources...

Highlights from this week's episode include:  David’s background in comparative databases (1:50) David’s experience and lessons he learned from writing his book (3:23) How writing a technical book compares to writing technical documentation (4:41) The process of writing a book (6:30) The best and worst part of David’s book writing experience (8:02) An introduction to what Neo4j is (9:08) What you...

Highlights from this week's episode include: Dave's "nerdy" interests in sports statistics and data (2:12) Trends in collecting, processing, and using data (4:45) Finding a better term for "reverse ETL" (5:48) The blurring of the distinction between sources and destinations (7:41) The role of BI is changing (13:24) Data governance and the physical execution behind it (19:00) Data governance is def...

On this week's episode of The Data Stack Show, Eric and Kostas talk with Nick Fogle, co-founder of Churnkey and Wavve. Together they discuss how having a legal background can impact engineering decisions, dealing with privacy and compliance concerns, and selling Wavve and starting Churnkey as a result. Highlights from this week's episode include:  Nick's background in economics and law and teachin...

This week on The Data Stack Show, Eric and Kostas talk with Jim Walker, the VP of product marketing at Cockroach Labs, about distributed systems, competing against the speed of light, and making data easy. Highlights from this week's episode include:  Jim background of translating deep technical concepts into understandable English and his work at Cockroach Labs (2:23) The origin of Cockroach Labs...

On this week's episode of The Data Stack Show, Eric and Kostas talk with John Marbach, senior growth manager at Grafana Labs. In this conversation, John discusses marketing ops and the blending of roles of data engineering and marketing. Highlights from this week's episode include: Grafana Labs John Marbach Senior Growth Manager Introduction to John Marbach and working in the blurred lines between...

On this week's episode of The Data Stack Show, Eric and Kostas talk with Peter Gao, co-founder, and CEO at Aquarium Learning. A former engineer at Cruise Automation, Peter and Aquarium Learning help ML teams improve their model performances by improving their data. Highlights from this week's episode include: How getting hit by a drunk driver made researching self-driving cars personal for Peter (...

On this week's episode of The Data Stack Show, Eric and Kostas talk with Chris Bergh, the CEO and head chef at Data Kitchen. DataKitchen’s mission is to provide the software, service, and knowledge that makes it possible for every data and analytics team to realize their full potential with DataOps. Highlights from this week's episode include:  Chris' background and how the lessons learned in the...

On this week's episode of The Data Stack Show, Eric and Kostas chat with Jenna Lemonias, director of data science at The Atlantic. The Atlantic, a publication that's been around since 1857, is adapting with the times and is implementing and emulating some of the data science practices seen at big tech companies.  Highlights from this week's episode include: Jenna's background in astrophysics and h...

On this week’s episode of The Data Stack Show, Eric and Kostas are joined by the co-founders of Big Time Data, Rachel Bradley-Haas, and Alex Dovenmuehle, formerly of Mattermost and prior to that, Heroku. At Big Time Data, they work together to provide companies with the ability to derive value and insights from decentralized datasets, improve business processes through data enrichment and automati...

On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Matthew Housley, CTO, and Joe Reis, CEO and co-founder of Ternary Data. These self-described “recovering data scientists” focus on teaching skills to build a solid foundation for organizations to work with their data. Highlights from this week’s episode include: Joe and Matt’s background and expertise (2:44) Common thread...