The Data Stack Show

Highlights from this week’s conversation include:The need for reverse ETL in marketing (2:24)Closing the gap between engineering, data, and marketing teams (8:37)The analytics persona’s opportunity (11:53)Interface layer (13:06)Approach to messy warehouse data (15:57)The need for a complicated infrastructure (28:43)Challenges in data integration for marketers (29:26)The evolution of the analytics stack (31:53)Orchestration of the data warehouse (38:39)The role of marketing tools (40:35)Generating custom assets (46:27)The shift towards making data processes easier (48:13)Final thoughts and takeaways (49:23)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.

In this bonus episode, Eric and Kostas preview their upcoming conversation with Chris Sell of GrowthLoop.

Highlights from this week’s conversation include:Brendan’s background and journey to Groundswell (2:25)The impact of generative AI on sales reps and product building (5:38)Lead sourcing challenges (12:22)Salesforce as a data model (14:30)The need for guardrails in building applications around sales (24:37)The question of interfaces in the layers of Salesforce (26:11)A UI solution for sales and marketing (30:45)The future of logic and machine learning models (37:11)The battle for data ownership (39:36)Actioning data and the role of refineries (46:03)The potential for decentralized systems using generative AI (46:59)Product building for the future (57:47)Building trust in data tools (59:10)The era of innovation (1:09:20)Final thoughts and takeaways (1:10:43)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.

In this bonus episode, Eric and Kostas preview their upcoming conversation with Brendan Short of Groundswell.

Highlights from this week’s conversation include:Building Dozer: Simplifying Data Sources into APIs (1:13)Bridging Data Engineering with Application Engineering (4:19)Turning Data Sources into APIs (7:46)The cost of caching (12:59)Challenges with legacy systems (14:30)Real-time data integration (19:31)YAML and SQL experience (25:37)Behind the scenes of Dozer (29:18)Heavy Workloads and Low Latency (42:00)Use Cases of Dozer (45:51)Reliability and storing data from different connectors (51:35)Importance of observability in serving data to customers (53:24)Final thoughts and takeaways (56:34)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..

In this bonus episode, Eric and Kostas preview their upcoming conversation with Matteo Pelati and Vivek Gudapuri of Dozer.

Highlights from this week’s conversation include:Stefan’s background in data (2:39)What is DAGWorks? (3:55)How building point solutions influenced Stefan’s journey (5:03)Solving the tooling problems of self-service at an organization (11:44)Creating Hamilton (15:53)How Hamilton works with definitions and time-series data (19:34)What makes Hamilton an ML-oriented framework? (23:39)Navigating the differences between ML teams and other data teams (26:27)Understanding the fundamentals of Hamilton (28:25)Dealing with types and conflicts in programming (33:18)How Hamilton helps improve pipelines and maintaining data (37:11)Why unit testing is important for a data scientist (44:54)The ups and downs of founding building a data solution (46:32)Connecting with DAGWorks and trying out Hamilton (50:01)Final thoughts and takeaways (52:46)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.

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.

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.

Highlights from this week’s conversation include:Lars work on Resoto in helping to cut cloud costs for organizations (2:02)The trend of large resources to micro resources (5:59)What are some of the typical resource drains in data infrastructure (8:56)Managing cost on the backend with scale and experimentation (12:51)Solutions for resource management problems (17:38)How Resoto is solving pain points in resource management (26:17)Navigating the complexities of data infrastructure (29:01)Resoto’s solution for interpreting difficult cloud data products (36:35)Exploring relationships of data points and finding solutions (43:40)Querying in graph database (47:46)How to go from graph to SQL (49:13)How can data teams plan for costs in the coming years (50:53)Final thoughts and takeaways (53:49)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.