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The Data Stack Show

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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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Episodes

163: Simplifying Real-Time Streaming with David Yaffe and Johnny Graettinger of Estuary

Highlights from this week’s conversation include: Johnny and David’s background in working together (1:56) The background story of Estuary (4:15) The challenges of ad tech and the need for low latency (5:44) Use cases for moving data at scale (10:35) Real-time data replication methods (11:54) Challenges with Kafka and the birth of Gazette (13:54) Comparing Kafka and Gazette (20:22) The importance of existing streaming tools (22:28) Challenges of managing Kafka and the need for a different approa...

Nov 08, 20231 hr 4 min

162: Accelerating Enterprise AI Transformation With Open Source LLMs Featuring Mark Huang of Gradient

Highlights from this week’s conversation include: The potential of AI-driven applications (1:34) The need for hardware infrastructure in AI experimentation (2:40) Oligopoly on the closed side (11:50) Advantages of private side vs. open source (13:18) Leveraging valuable data within enterprises (16:00) The urgency of adopting LLMs in the enterprise (24:02) Expansion of LLMs into new business verticals (25:06) The challenges of operationalizing LLMs (29:32) Seamless experience with OpenAI (37:29) ...

Nov 01, 202357 min

161: The Intersection of Generative AI and Data Infrastructure with Chang She of LanceDB

Highlights from this week’s conversation include: Chang’s background and journey with Pandas (6:26) The persisting challenges in data collection and preparation (10:37) The resistance to change in using Python for data workflows (13:05) AI hype and its impact (14:09) The success and evolution of Pandas as a data framework (20:04) The vision for a next-generation data infrastructure (26:48] LanceDB's file and table format (34:35) Trade-Offs in Lance Format (42:45) Introducing the Vector Database ...

Oct 25, 20231 hr 21 min

160: Closing the Gap Between Dev Teams and Data Teams with Santona Tuli of Upsolver

Highlights from this week’s conversation include: Santona’s journey from nuclear physics to data science (4:59) The appeal of startups and wearing multiple hats (8:12) The challenge of pseudoscience in the news (10:24) Approaching data with creativity and rigor (13:22) Challenges and differences in data workflows (14:39) Schema Evolution and Quality Problems (27:01) Real-time Data Monitoring and Anomaly Detection (30:34) The importance of data as a business differentiator (35:48) The SQL job cre...

Oct 18, 20231 hr 6 min

159: What Is a Vector Database? Featuring Bob van Luijt of Weaviate

Highlights from this week’s conversation include: How music impacted Bob’s data journey (3:16) Music’s relationship with creativity and innovation (11:38) The genesis of Weaviate and the idea of vector databases (14:09) The joy of creation (19:02) OLAP Databases (22:21) The progression of complexity in databases (24:31) Vector database (29:23) Scaling suboptimal algorithms (34:34) The future of vector space representation (35:51) Databases role in different industries (39:14) The brute force app...

Oct 11, 20231 hr 9 min

158: The Orchestration Layer as the Data Platform Control Plane With Nick Schrock of Dagster Labs

Highlights from this week’s conversation include: Nick’s background and journey in data (2:28) Founding Dagster Labs (7:50) The evolution of data engineering (12:32) Fragmentation in data infrastructure (15:04) The role of orchestration in data platforms (19:53) The importance of operational tools for data pipelines (25:01) Lessons learned from working with GraphQL (26:19) The role of the orchestrator in data engineering (34:51) The boundaries between data infrastructure and product engineering ...

Oct 04, 20231 hr 2 min

157: From Search Engine to Answer Engine Using Grounded Generative AI, Featuring Amr Awadallah of Vectara

Highlights from this week’s conversation include: Amr’s extensive background in data (3:23) The evolution of neural networks (9:21) The role of supervised learning in AI (11:17) Explaining Vectara (13:07) Papers that laid the foundation for AI (15:02) Contextualized translation and personalization (20:07) Ease of use and answer-based search (25:01) AI and potential liabilities (35:54) Minimizing difficulties in large language models (36:43) The process of extracting documents in multidimensional...

Sep 27, 20231 hr 4 min

156: Simple, Performant, Cost-effective Data Streaming with Alex Gallego of Redpanda Data

Highlights from this week’s conversation include: Alex’s background in the data space and the creation of Redpanda (4:23) The cost and complexity of streaming (11:07) The evolution of storage with Kafka (12:04) The distinction between streaming technologies (15:10) Simplicity as a Core Design Principle (27:03) Cost Efficiency in a Cloud Native Era (30:44) Removing complexity with Redpanda (34:21) Migrations and compatibility with Redpanda (40:35) The Future of Redpanda (43:44) The Story Behind R...

Sep 20, 202355 min

155: Bringing Innovation to Enterprise Resource Planning with Emilie Schario of Turbine

Highlights from this week’s conversation include: Emilie’s background and journey in data (3:42) The problem of three-way match (8:56) Operational workflows and how data stacks solve them (13:16) Turbine’s solution as a lightweight ERP (14:05) Workflows and analytics (14:59) Consolidating information into helpful application (27:41) Challenges in operational workflows (32:19) Friction and hurdles in ERP usage (39:28) A solution for purchase order management (40:47) Turbine’s focus and limitation...

Sep 13, 20231 hr 1 min

154: Making Cross-Company Data Exchange Easy with Pardis Noorzad of General Folders

Highlights from this week’s conversation include: Pardis’ background and journey in data (3:24) AI before the hype (8:37) Founding General Folders (12:36) Data collaboration challenges (15:31) Examples of data sharing (17:40) Data transfer in various industries (22:16) Defining the transfer problem (28:30) The demand for scalable solutions (32:06) Data transfer and model exposition (41:02) Data governance and API (43:23) Final thoughts and takeaways (56:48) The Data Stack Show is a weekly podcas...

Sep 06, 20231 hr 3 min

153: The Future of Data Science Notebooks with Jakub Jurových of Deepnote

Highlights from this week’s conversation include: Jakub’s journey into data and working with notebooks (2:43) Overview of Deepnote and its features (7:22) Notebook 1.0 and 2.0 (14:04) Notebook 3.0 and its potential impact (15:46) The need for collaboration across organizations (17:16) Real-time, asynchronous, and organizational collaboration (28:02) Challenges to collaboration (32:03) Notebooks as a universal computational medium (36:14) The rise of exploratory programming (41:40) The power of n...

Aug 30, 20231 hr

152: Three Steps To Enhance Product Analytics with Ken Fine of Heap

Highlights from this week’s conversation include: Ken’s background and journey to Heap (2:32) Heap’s problem-solving approach (8:19) Auto-capture and its significance in the marketplace (13:03) Providing qualitative context: sessions and surveys (16:23) Collection and storage of data (25:42) Challenges of real-time data collection (26:40) The true gap in the market today (37:39) Consolidation and aggregation of data solutions (41:58) Simplifying the data stack (47:32) A different approach in eng...

Aug 23, 20231 hr 7 min

The PRQL: Auto Tracking in Product Analytics with Ken Fine of Heap

In this bonus episode, Eric and Kostas preview their upcoming conversation with Ken Fine of Heap. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Aug 21, 20234 min

151: How To Unlock the Data Warehouse for Marketing with Chris Sell of GrowthLoop

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...

Aug 16, 202353 min

150: How Salespeople Use Data, Salesforce vs. Snowflake, and How LLMs Are Transforming Sales with Brendan Short of Groundswell

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 ow...

Aug 09, 20231 hr 12 min

149: Turning Tables Into APIs for Real-time Data Apps, Featuring Matteo Pelati and Vivek Gudapuri of Dozer

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 (...

Aug 02, 20231 hr 4 min
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