

The Data Stack Show
Rudderstack
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.
Episodes
Mentioned books

Jun 8, 2022 • 57min
90: The Modern Data Stack Has a Join Problem with Ahmed Elsamadisi of Narrator AI
Highlights from this week’s conversation include:Ahmed’s background and career journey (2:27)Why the modern data stack “sucks” (4:53)The limitations of progress (9:13)Showing data with only 11 columns (11:55)Managing one table that rules them all (19:02)Viewing the world as timestamped activities (32:40)When this model becomes harder to use (35:15)The two parts you need in a company (44:41)Those who use Narrator (48:32)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. 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.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

Jun 3, 2022 • 5min
The PRQL: Can One Table Rule Them All?
Eric and Kostas preview their upcoming episode with Ahmed Elsamadisi of Narrator AI.

Jun 1, 2022 • 52min
89: Solving Microservice Orchestration Issues at Netflix with Viren Baraiya of Orkes
Highlights from this week’s conversation include:Viren’s background and career journey (2:23)Engineering challenges in Netflix transitions (6:05)How Conductor changed the process (9:30)Building a lot more microservices (16:04)Open sourcing Conductor (17:38)Defining “orchestration” (22:05)Using an orchestrator written in Java (31:04)Building a cloud service around microservices (34:59)Differentiating product experiences (37:17)Orchestration platforms in new environments (42:15)Advice for those early on in their career (46:10)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. 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.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

May 27, 2022 • 4min
The PRQL: What are the Different Flavors of Orchestration?
Eric and Kostas preview their upcoming conversation with Viren Baraiya of Orkes.

May 25, 2022 • 1h 2min
88: What Is Data Observability? With Tristan Spaulding of Acceldata
Tristan Spaulding, data observability expert, discusses updating old technology, defining data observability, handling incidents, and early symptoms of data drift in an entertaining podcast conversation.

May 20, 2022 • 4min
The PRQL: Does Data Exist if We Do Not Observe It?
Eric and Kostas preview their upcoming conversation with Tristan Spaulding of Acceldata.

May 18, 2022 • 58min
87: Why Is Now the Golden Age of Data Analytics? With Cindi Howson of ThoughtSpot
Highlights from this week’s conversation include:Cindi’s career journey (2:36)Major shifts in analytics (6:34)Where we are in formation of the modern analytics cloud (9:07)The process of moving into the cloud (11:01)How to accelerate the digital transformation (17:29)Common patterns amongst company cultures (19:42)Data regulations affecting change (22:34)ThoughtSpot customer base (24:06)The need to know SQL (27:42)Power users leveraging the AI Insights (31:24)Who should audit technology (32:33)The ways that education is happening best (36:28)Stuck in descriptive analytics (40:43)Changes in company structure (43:54)Defining an analytics engineer (46:57)The impact on IT as a function (50:33)Enjoying data analytics (53:06)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. 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.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

May 13, 2022 • 3min
The PRQL: Can You Trust AI Enabled Analytics?
Eric and Kostas preview their upcoming conversation with Cindi Howson of ThoughtSpot and Host of The Data Chief Podcast.

May 11, 2022 • 59min
86: Solving the Data Quality Problem with Bigeye, Great Expectations, Metaplane, and Lightup.ai
Highlights from this week’s conversation include:Guest introductions (1:02)Defining data quality (4:08)Forgetting to apply software best practices (8:33)Differentiating observability and data quality (17:53)Who should care about quality in the organization (26:55)Why this is still a valid conversation (35:44)The jurisdiction of various components (45:39)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. 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.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

May 4, 2022 • 52min
85: You Can Stop Doing Data Fire Drills with Barr Moses of Monte Carlo
Barr Moses discusses her background, the challenges of data trust, and the concept of data observability. The story behind the name 'Monte Carlo' is revealed. The importance of accuracy, reliability, standardization, and automation in data management is explored. The value of standardizing processes and concepts in building a business is emphasized.