All Episodes
The Data Stack Show — 504 episodes
Re-Air: The End of Busywork: How AI Transforms Productivity at Scale with Alberto Rizzoli of V7
Re-Air: The Rise of the Citizen Developer: Solving Business Problems with Alteryx and AI with Andy Macmillan
Re-Air: AI and BI: The Future of Data Analytics with Mike Driscoll of Rill Data
Re-Air: Data Tools, Templates, and the Trouble with “Easy” Solutions with the Cynical Data Guy
Re-Air: Data Teams at the Crossroads: Proving Value in a Changing Business Landscape with Ben Rogojan
Re-Air: From Anxiety to Advantage: Navigating Data’s AI Revolution with Barry McCardel of Hex
Re-Air: Confidently Wrong: Why AI Needs Tools (and So Do We)
Re-Air: Bridging Gaps: DevRel, Marketing Synergies, and the Future of Data with Pedram Navid of Dagster Labs
Re-Air: Context is King: Building Intelligent AI Analytics Platforms with Paul Blankley of Zenlytic
Re-Air: AI is All About Working with Data with Kostas Pardalis of typedef
Re-Air: From PDFs to BI and Beyond: The Future of the Data Frontend with Ryan Dolley of GoodData
Re-Air: The Data Economy: Turning Information into a Tradable Commodity with Viktor Kessler of Vakamo
Re-Air: The Future of AI: Superhuman Intelligence, Autonomous Coding, and the Path to AGI with Misha Laskin of ReflectionAI
Re-Air: Ringing Out the Old: AI's Role in Redefining Data Teams, Tools, and Business Models
265: From Anxiety to Advantage: Navigating Data’s AI Revolution with Barry McCardel of Hex
The PRQL: Redefining Data Roles in an AI World with Barry McCardel of Hex
264: Infrastructure as Code Meets AI: Simplifying Complexity in the Cloud with Alexander Patrushev of Nebius
The PRQL: Powering the Future: AI Infrastructure, Energy, and the Cloud Revolution with Alexander Patrushev of Nebius
263: The End of Busywork: How AI Transforms Productivity at Scale with Alberto Rizzoli of V7
The PRQL: The Human and Machine Future of Work with Alberto Rizzoli of V7
262: From PDFs to BI and Beyond: The Future of the Data Frontend with Ryan Dolley of GoodData
The PRQL: Rewriting the Data Playbook: How AI and Storytelling Are Shaping BI’s Future with Ryan Dolley of GoodData
261: Will AI Permanently Disrupt the Bundling and Unbundling Cycle?
260: Return of the Dodds: APIs, Automation, and the Art of Data Team Survival
259: AI is All About Working with Data with Kostas Pardalis of typedef
The PRQL: He’s Back! How typedef is Changing Data Workflows with Kostas Pardalis
258: Confidently Wrong: Why AI Needs Tools (and So Do We)
The PRQL: Hallucinations, Tools, and Data Wars: Inside the Minds of Data Pros
257: Data Tools, Templates, and the Trouble with “Easy” Solutions with the Cynical Data Guy
The PRQL: Simplicity, SaaS, and the Art of Data Engineering with the Cynical Data Guy
256: The Rise of the Citizen Developer: Solving Business Problems with Alteryx and AI with Andy MacMillan
The PRQL: Cloud Platforms, AI, and the Future of Business Analytics with Andy MacMillan of Alteryx
255: When Dashboards Lie: Unpacking the Myths of Self-Service Analytics with the Cynical Data Guy
The PRQL: Self-Service BI: Why Dashboards Collect Dust with the Cynical Data Guy
254: Context is King: Building Intelligent AI Analytics Platforms with Paul Blankley of Zenlytic
The PRQL: Breaking Down BI: How AI is Rewriting the Rules with Paul Blankley of Zenlytic
253: Why Traditional Data Pipelines Are Broken (And How to Fix Them) with Ruben Burdin of Stacksync
The PRQL: Zero Copy ETL: Myth vs Reality with Ruben Burdin of Stacksync
252: What the Heck is Happening in Data Right Now with the Cynical Data Guy
The PRQL: Data Engineering in 2025: Tooling, Headcount, and Survival Strategies with the Cynical Data Guy
251: Data Teams at the Crossroads: Proving Value in a Changing Business Landscape with Ben Rogojan
The PRQL: Beyond Dashboards: Selling Data Value to the Business with Ben Rogojan
250: The Chat Interface Debate: Is Text Really the Future?
249: Quacking Through Data: Duckdb's Emerging Ecosystem
248: AI and BI: The Future of Data Analytics with Michael Driscoll of Rill Data
The PRQL: The Metrics-First Approach: Transforming How We Understand Data with Michael Driscoll of Rill Data
247: Consulting Firms, AI Strategies, and the $100K Question with the Cynical Data Guy
The PRQL: Cynical Data Guy: Unpacking Tech's Latest Hype Cycles
246: AI, Abstractions, and the Future of Data Engineering with Pete Hunt of Dagster
The PRQL: Breaking Down Silos: Collaborative Data Engineering in the AI Era with Pete Hunt of Dagster
245: The Future of Data: Postgres, Iceberg, and Operational Analytics with Pranav Aurora of Mooncake Labs
The PRQL: Zero to One: Navigating the Challenges of a Data Infrastructure Startup
244: Postgres to ClickHouse: Simplifying the Modern Data Stack with Aaron Katz & Sai Krishna Srirampur
The PRQL: Data Migration Made Easy: Postgres, ClickHouse, and the Future of Analytics with Aaron Katz and Sai Krishna Srirampur
243: The Data Economy: Turning Information into a Tradable Commodity with Viktor Kessler of Vakamo
The PRQL: Governance, Flexibility, and the Future of Enterprise Data with Viktor Kessler of Vakamo
242: The Data Convergence: How Operational and Analytical Data Are Merging with Ruben Burdin of Stacksync
The PRQL: Two-Way Sync: The Future of Database Communication with Ruben Burdin of Stacksync
241: Marketing Meets Data: Measuring Impact and Driving Results with Pedram Navid of Dagster Labs
The PRQL: Shifting Gears: From Code to Marketing in the Data World with Pedram Navid of Dagster Labs
240: Data Council Insights from a Waymo: Postgres and the Future of the Data Stack
The PRQL: Data Council Debrief
239: How AI is Transforming Product Development with Thomas Kuckoff, Senior Product Manager at Omron Automation
238: What Every Developer Needs to Know About Microservices in 2025 with Mark Fussell, Founder & CEO at Diagrid
The PRQL: From Monoliths to Microservices with Mark Fussell, Founder & CEO at Diagrid
237: Startups, Sales, and Spreadsheets: How a Real Estate Developer Built an AI Company
The PRQL: Willz Tolbert’s Journey Through Real Estate and AI
236: Ringing Out the Old: AI's Role in Redefining Data Teams, Tools, and Business Models
The PRQL: AI, SaaS, and the End of Job Titles with Eric Dodds and John Wessel
235: Pete Soderling on the Evolution of Data Engineering
The PRQL: What AI Founders Need to Know About Data (Before It’s Too Late) with Pete Soderling of Zero Prime Ventures
234: The Cynical Data Guy on AI, Data Tools, and the Future of Coding
The PRQL: From Code to No-Code: How AI is Reshaping Data Work with the Cynical Data Guy
233: The Power of a Triple Threat in Data: Business, Engineering, and Strategy with Solomon Kahn of Delivery Layer and Top Data People
The PRQL: From Data Engineer to Data Entrepreneur with Solomon Kahn of Delivery Layer and Top Data People
232: Building a Business Solo: Streaming Data, Synthetic Testing, and Startup Lessons with Michael Drogalis of ShadowTraffic.io
The PRQL: Solopreneurship, Streaming Data, and Synthetic Testing with Michael Drogalis of ShadowTraffic.io
231: From Pre-Med to Product Strategy: Eric Dodds’ Journey in Data and Startups
230: The Cynical Data Guy: Data Tech Debt, Data Mesh, and Dashboard Directives
229: The Future of AI: Superhuman Intelligence, Autonomous Coding, and the Path to AGI with Misha Laskin of ReflectionAI
The PRQL: From Theoretical Physics to AI: Misha Laskin on AGI, Superhuman Intelligence, and Autonomous Coding
228: The Machine Learning Reality Check: When AI Makes Sense for Marketing Attribution with Lew Dawson of Momentum Consulting
227: The Art & Science of Marketing Attribution: From UTMs to Machine Learning with Lew Dawson of Momentum Consulting
226: Building Trust in Marketing Data: An Engineer's Guide to Attribution Architecture with Lew Dawson of Momentum Consulting
The PRQL: From Data Chaos to Marketing Truth: An Engineer's Guide to Attribution with Lew Dawson of Momentum Consulting
225: The Stone Cold Truth About Data: False Hopes and Hard Truths with The Cynical Data Guy
The PRQL: The End of Data Silos (and Other Myths) with The Cynical Data Guy
224: Bridging Gaps: DevRel, Marketing Synergies, and the Future of Data with Pedram Navid of Dagster Labs
The PRQL: Developer Relations, Marketing Synergies, and the Future of Data Platforms with Pedram Navid of Dagster Labs
223: End-of-Year Product Trends: The Cost of Rushing Features with The Cynical Data Guy
The PRQL: Year-End Reflections with The Cynical Data Guy: Ship Features Fast, Pay Later
222: The Future of Data Modeling: Breaking Free from Tables with Best-Selling Author, Joe Reis of Ternary Data
The PRQL: From Tables to AI: The Future of Data Modeling with Best-Selling Author, Joe Reis of Ternary Data
221: The Art and Science of Technical Leadership in Early-Stage Startups: Building World-Class Engineering Teams from Scratch with Sokratis Vidros of Novu
The PRQL: Building Software with Intuition: Lessons from Multiple Successful Startups with Sokratis Vidros of Novu
220: From Box Office to Big Data: Bridging Marketing and Technology Through Data-Driven Leadership with Brian Schwartz of SIZE
The PRQL: Bridging Marketing and Technology Through Data-Driven Leadership with Brian Schwartz of SIZE
219: The First 90 Days of Data Leadership: What the LinkedIn Posts Don't Tell You with Matt Kelliher-Gibson, The Cynical Data Guy
The PRQL: The Unspoken Truths of Data Leadership with Matt Kelliher-Gibson, The Cynical Data
218: Breaking the Language Barrier Between Data and Business with Joyce Myers of Modern Technology Solutions
The PRQL: Small Errors, Big Consequences: The Reality of Data Quality with Joyce Myers of Modern Technology Solutions
217: Bridging Data Models with Business Intuition with Zenlytic’s Founders Ryan Janssen and Paul Blankley
The PRQL: Large Language Models Haven’t Always Been Large with Ryan Janssen and Paul Blankley from Zenlytic
216: From Raw Data to Business Results: Building High-Impact Data Teams with Ethan Aaron and John Steinmetz
The PRQL: Understanding Business Needs Before Building Data Solutions with Ethan Aaron and John Steinmetz
215: Data Sharing and the Truth About Data Clean Rooms with Patrik Devlin of Wilde AI
The PRQL: Data Sharing Deep Dive and Building Secure, Scalable, Flexible Data Solutions with Patrik Devlin of Wilde AI
214: Will Salesforce Be the Most Successful AI Company? And Do You Need That in Real-Time? Featuring the Cynical Data Guy
The PRQL: A Take on Salesforce Agentforce and More with the Cynical Data Guy
213: How AI Can Bring Advanced Data Outcomes to More Businesses featuring Taylor Murphy of Arch
The PRQL: From ETL to AI: Taylor Murphy’s Journey to Transform Data Analytics
212: Scaling Startups with Purpose: Jonathan Bragdon’s Blueprint for Capital-Efficient Growth
The PRQL: Founder Obsession and Funding Options with Jonathan Bragdon of Capacity
211: From Classroom to Data Science: Career Advice and AI Trends with Angelica ‘Jelly’ Spratley
The PRQL: Navigating the Data World with Angelica 'Jelly' Spratley: Career Transitions, AI Insights, and Industry-Ready Skills
210: From Reporting Basics to AI Automation with Eric Dodds and John Wessel: Navigating the Complexities of Data Standardization, Observability, and Business Alignment
The PRQL: Back to the Basics: The Importance of Solid Reporting and Analytics
209: Storytime with Cynical Data Guy: Data Projects, $50K Web Scraping Fails, and the Role of CDOs
The PRQL: Data Projects Gone Wrong
208: The Intersection of AI Safety and Innovation: Insights from Soheil Koushan on LLMs, Vision, and Responsible AI Development
The PRQL: Balancing Safety and Innovation for AI with Soheil Koushan of Anthropic
207: Why Niche Data Tools Fail, Broken Hiring Processes, and the GUI vs. Command Line Showdown with The Cynical Data Guy
The PRQL: Open Source Data Tools: Buying or Selling?
206: Reviving Old-School Customer Experiences Through Modern Data Strategies, Featuring Edward Chenard, Seasoned Data Leader and Analytics Officer
The PRQL: Modern Data, Old-School Customer Focus: A Winning Strategy with Edward Chenard
205: How to make LLMs Boring (Predictable, Reliable, and Safe), Featuring Nicolay Gerold
The PRQL: What are LLMs Actually Good At? Featuring Nicolay Gerold
204: Will a Duck DB-Like Excel Emerge by 2075? And Is Data Every Company’s Most Valuable Asset? Featuring Benn Stancil of Mode
The PRQL: Will Excel Exist in 50 Years? Featuring Benn Stancil of Mode
203: From Data Dreams to Practical Marketing Outcomes with Spencer Burke of Braze
The PRQL: Get Better at Data, Get Better at Marketing with Spencer Burke of Braze
202: Predicting the Impact of Competitive Entrants With Synthetic Controls with Evan Wimpey of Elder Research
The PRQL: Data Comedy and Synthetic Controls with Evan Wimpey of Elder Research
201: AI Real-Talk: Uncovering the Good, Bad and Ugly Through Prototyping with Eric, John, and Matt
The PRQL: AI Roundtable: Putting AI in Historical Context and Real-Life Learnings Through Prototyping, with Eric, John, and Matt
200: Data Team Struggles: Telling Stakeholders the Truth vs. What They Want to Hear (How to Tell The Truth, Tactfully)
The PRQL: Jaded Takes on Data Linkedin
199: How To Use Data Analytics and AI To Increase Profitability With Smarter Procurement, Featuring Cameron Jagoe of ProcureVue
The PRQL: Better Analytics, Smarter Purchasing, and Improved Profitability with Cameron Jagoe of ProcureVue
198: Building AI Search and Customer-Enabled Fine-Tuning with Jesse Clark of Marqo.ai
The PRQL: Exploring the Evolution of AI and ML in E-commerce Search Optimization with Jesse Clark of Marqo.ai
197: Deep Dive: How to Build AI Features and Why it is So Dang Hard with Barry McCardle of Hex
The PRQL: Why is Building Great AI Features so Hard? Featuring Barry McCardel of Hex
196: Why Big Query Was a Big Deal, Observability AI, and How AI is Like a Guy at the Bar, Featuring David Wynn of Edge Delta
The PRQL: Google Cloud Deep Dive and Observability AI with David Wynn of Edge Delta
195: Supply Chain Data Stacks and Snowflake Optimization Pro Tips with Jeff Skoldberg of Green Mountain Data Solutions
The PRQL: Breaking down Keurig’s Supply Chain Data Stack with Jeff Skoldberg of Green Mountain Data Solutions
194: Building Retail Churn Prediction on DuckDB with Clint Dunn of Wilde
The PRQL: Hard Data ROI and Productizing Retail Churn Prediction with Clint Dunn of Wilde
193: Introducing the Cynical Data Guy: Is Data-Driven a Myth?
The PRQL: The Cynical Data Guy’s Origin Story
192: Business Logic As Code: A New LLM-Powered Operating System for Business Automation with Binny Gill of Kognitos
The PRQL: From Programming Tic Tac Toe to Building an Operating System for Natural Language Programs With Binny Gill of Kognitos
191: From Amazon to Consulting: Time Series Forecasting and How to Communicate Data Analytics Insights with David McCandless of McCandless Consulting
The PRQL: Practical Applications for Time Series Forecasting with David McCandless of McCandless Consulting
190: Aligning Data Teams and Data Tools With Business Needs Featuring Ben Rogojan, the Seattle Data Guy
The PRQL: Data Success From Mid-market to Enterprise with Ben Rogojan
189: Customer Data Modeling, The Data Warehouse, Reverse ETL, and Data Activation with Ryan McCrary of RudderStack
The PRQL: How to Get Business Teams Closer to Customer Data (The Right Way)
188: How To Invest in Data Infrastructure and Data Projects That Create Business Value with Matthew Kelliher-Gibson of Rudderstack
The PRQL: Navigating the Procurement Process for Data Infrastructure Tooling With Matthew Kelliher-Gibson of Rudderstack
187: Startup Lessons and Torch Passing with Kostas Pardalis
The PRQL: Why Is Kostas a Guest on His Own Podcast?
186: Data Fusion and The Future Of Specialized Databases with Andrew Lamb of InfluxData
The PRQL: Open Source and the Evolution of Data Systems with Andrew Lamb of InfluxData
Data Council Week: A Decade of Supporting the Data Community with Pete Soderling
Data Council Week: AI Isn’t Just Hype - How To Successfully Apply LLMs Today with Tristan Zajonc of Continual
Data Council Week: How To Do Self-Service Data Analytics and Business Intelligence Right with Ryan Dolley of GoodData
185: The Evolution of Data Processing, Data Formats, and Data Sharing with Ryan Blue of Tabular
The PRQL: The Two Parallel Tracks of Development In Data Processing with Ryan Blue of Tabular
184: Kafka Streams and Operationalizing Event Driven Applications with Apurva Mehta of Responsive
The PRQL: Event-Driven Applications: Where Low Latency Meets High Impact with Apurva Mehta of Responsive
183: Why Modern Data Quality Must Move Beyond Traditional Data Management Practices with Chad Sanderson of Gable.ai
The PRQL: The Data Supply Chain with Chad Sanderson of Gable.ai
182: Building a Dynamic Data Infrastructure at Enterprise Scale Featuring Kevin Liu of Stripe
The PRQL: Exploring the Intersection of Software Engineering and Data Management with Kevin Liu of Stripe
181: OLAP Engines and the Next Generation of Business Intelligence with Mike Driscoll of Rill Data
The PRQL: Making the Data Stack Serverless in the Cloud with Mike Driscoll of Rill Data
180: Data Observability and AI for Data Operations Featuring Kunal Agarwal of Unravel Data
The PRQL: What’s Driving The Evolution of Data Operations? Featuring Kunal Agarwal of Unravel Data
179: Time Series Data Management and Data Modeling with Tony Wang of Stanford University
The PRQL: How is Academic Research Shaping the Future of Data Processing Systems? Featuring Tony Wang of Stanford University
178: How to Build a Data Stack to Win PLG, Featuring Peter Chapman
The PRQL: Building a Future-Proof Data Stack from Day Zero? Featuring Peter Chapman
177: AI-Based Data Cleaning, Data Labelling, and Data Enrichment with LLMs Featuring Rishabh Bhargava of refuel
The PRQL: Exploring the Evolution of AI and ML with Rishabh Bhargava of refuel
176: The Fundamentals of Event-Driven Orchestration and How Generative AI Is Shaping Its Future with Viren Baraiya of orkes.io
The PRQL: The Evolution of Application Orchestration Featuring Viren Baraiya of orkes.io
175: The Parts, Pieces, and Future of Composable Data Systems, Featuring Wes McKinney, Pedro Pedreira, Chris Riccomini, and Ryan Blue
The PRQL: Exploring the Evolution, Challenges, and Benefits of Composable Data Stacks Featuring Wes McKinney, Pedro Pedreira, Chris Riccomini, and Ryan Blue
174: Does Your Data Stack Need a Semantic Layer? Featuring Artyom Keydunov of Cube Dev
The PRQL: Why is a Semantic Layer Important in the Modern Data Stack? Featuring Artyom Keydunov of Cube Dev
173: Data Analytics Is a Team Sport, Featuring Jay Henderson of Alteryx
The PRQL: Bridging the Gap Between Messy Data and Sophisticated Analytics with Jay Henderson of Alteryx
172: How WebAssembly is Enabling the Third Wave of Cloud Compute with Matt Butcher of Fermyon Technologies
The PRQL: WebAssembly: The Future of Cloud Workloads Made Simple with Matt Butcher of Fermyon Technologies
171: Machine Learning Pipelines Are Still Data Pipelines with Sandy Ryza of Dagster
The PRQL: Does Machine Learning Need Its Own Orchestrator? Featuring Sandy Ryza of Dagster
170: Discussing Data Roles and Solving Data Problems with Katie Bauer of GlossGenius
The PRQL: What is a Data Scientist? Featuring Katie Bauer of GlossGenius
169: Data Models: From Warehouse to Business Impact with Tasso Argyros of ActionIQ
The PRQL: From Databases to Customer Data Platforms with Tasso Argyros of ActionIQ
168: Decoding Data Mesh: Principles, Practices, and Real-World Applications Featuring Paolo Platter, Zhamak Dehghani, and Melissa Logan
The PRQL: A Data Mesh Deep Dive with Paolo Platter, Zhamak Dehghani, and Melissa Logan
167: Data-Driven Investing and Company Building with Ben Miller of Fundrise
The PRQL: Fundrise's Data-Driven Approach to Investment in Real Estate and Tech with Ben Miller
166: Data Processing Fundamentals and Building a Unified Execution Engine Featuring Pedro Pedreira of Meta
The PRQL: How Does Composability in Data Infrastructure Differ at Different Levels of Abstraction? Featuring Pedro Pedreira of Meta
165: SQL Queries, Data Modeling, and Data Visualization with Colin Zima of Omni
The PRQL: Building a Data Product for Data People: Looker's Vision and Omni's Future with Colin Zima
164: How The GTM and Data Teams at Snowflake Work Together with Travis Henry and Hillary Carpio
The PRQL: Navigating the World of Data Overload with Travis Henry and Hillary Carpio of Snowflake
163: Simplifying Real-Time Streaming with David Yaffe and Johnny Graettinger of Estuary
The PRQL: The Shortcomings of Apache Kafka with David Yaffe and Johnny Graettinger of Estuary
162: Accelerating Enterprise AI Transformation With Open Source LLMs Featuring Mark Huang of Gradient
The PRQL: How LLMs are Transforming Enterprise Workflows with Mark Huang of Gradient
161: The Intersection of Generative AI and Data Infrastructure with Chang She of LanceDB
The PRQL: How Did Pandas Become a Data Science Powerhouse? Featuring Chang She of Eto Labs
160: Closing the Gap Between Dev Teams and Data Teams with Santona Tuli of Upsolver
The PRQL: The Intersection of Physics, Data Science, and Product Development with Santona Tuli of Upsolver
159: What Is a Vector Database? Featuring Bob van Luijt of Weaviate
The PRQL: Enhancing Search and Recommendation Systems with Vector Databases with Bob van Luijt of Weaviate
158: The Orchestration Layer as the Data Platform Control Plane With Nick Schrock of Dagster Labs
The PRQL: The Power of Data Orchestration: A Game-Changer for Data Infrastructure, Featuring Nick Schrock of Dagster Labs
157: From Search Engine to Answer Engine Using Grounded Generative AI, Featuring Amr Awadallah of Vectara
The PRQL: How Can Large Language Models Revolutionize Decision-Making? Featuring Amr Awadallah of Vectara
156: Simple, Performant, Cost-effective Data Streaming with Alex Gallego of Redpanda Data
The PRQL: Redpanda: Revolutionizing Streaming Systems and Challenging the Kafka Status Quo with Alex Gallego
155: Bringing Innovation to Enterprise Resource Planning with Emilie Schario of Turbine
The PRQL: Making ERP Systems More User-Friendly with Emilie Schario of Turbine
154: Making Cross-Company Data Exchange Easy with Pardis Noorzad of General Folders
The PRQL: Simplifying Data Collaboration with Pardis Noorzad of General Folders
153: The Future of Data Science Notebooks with Jakub Jurových of Deepnote
The PRQL: Exploring the Evolution of Notebooks with Jakub Jurových of Deepnote
152: Three Steps To Enhance Product Analytics with Ken Fine of Heap
The PRQL: Auto Tracking in Product Analytics with Ken Fine of Heap
151: How To Unlock the Data Warehouse for Marketing with Chris Sell of GrowthLoop
The PRQL: How Can Reverse ETL Revolutionize Marketing Data Management? Featuring Chris Sell of GrowthLoop
150: How Salespeople Use Data, Salesforce vs. Snowflake, and How LLMs Are Transforming Sales with Brendan Short of Groundswell
The PRQL: Generative AI Transforming the Sales Process Featuring Brendan Short of Groundswell
149: Turning Tables Into APIs for Real-time Data Apps, Featuring Matteo Pelati and Vivek Gudapuri of Dozer
The PRQL: Turning Data Into an API with Matteo Pelati and Vivek Gudapuri of Dozer
148: Exploring the Intersection of DAGs, ML Code, and Complex Code Bases: An Elegant Solution Unveiled with Stefan Krawczyk of DAGWorks
The PRQL: A Methodology for Better DAGs with Stefan Krawczyk of DAGWorks
Shop Talk: Snowflake Summit Recap
147: Where Data and Infrastructure Converge Featuring Lars Kamp of Resoto
The PRQL: Cloud Resource Management Is a Data Problem Featuring Lars Kamp of Resoto
146: What Is a Customer Data Platform? Featuring Soumyadeb Mitra of Rudderstack
The PRQL: Building Data Products for Multiple Personas with Soumyadeb Mitra of Rudderstack
145: What is Synthetic Data? Featuring Omar Maher of Parallel Domain
The PRQL: Synthetic Data and Self Driving Cars with Omar Maher of Parallel Domain
144: Explaining Features, Embeddings, and the Difference Between ML and AI with Simba Khadder of Featureform
The PRQL: Feature Stores and ML Ops with Simba Khadder of Featureform
Shop Talk: Accountability and Opportunity for AI
143: Collaborative Data Analytics on the Data Warehouse, featuring Rob Woollen & Stipo Josipovic of Sigma
The PRQL: Modern Analytics Using Common Paradigms, Featuring Rob Woollen & Stipo Josipovic of Sigma
Shop Talk: Why AI Is Not Another Crypto
142: Martech’s Separation and Return to Data Infrastructure with Scott Brinker of HubSpot
The PRQL: Marketing, Martech, and Data with Scott Brinker of HubSpot
141: A Journey From Backend Engineer to Data Engineer with Ioannis Foukarakis of Mattermost
The PRQL: The Portability of Engineering Fundamentals with Ioannis Foukarakis of Mattermost
140: Stream Processing for Machine Learning with Davor Bonaci of DataStax
The PRQL: Kaskada Serving as a Recommendation Engine with Davor Bonaci of DataStax
139: Decoupling the Execution Engine From Python’s Pandas with Aditya Parameswaran of Ponder
The PRQL: Removing the Execution Engine Language Barrier with Aditya Parameswaran of Ponder
138: Paradigm Shift: Batch to Data Streaming with A.J. Hunyady of InfinyOn
The PRQL: Data Infrastructure Systems and the Rust / WebAssembly Combo with A.J. Hunyady of InfinyOn
137: Data Collection Secrets & The Search Data Problem with Josh Wills
The PRQL: Data Engineers in the Front End with Josh Wills
136: System Evolution from Hadoop to RocksDB with Dhruba Borthakur of Rockset
The PRQL: Hardware Innovation Begets Software Innovation with Dhruba Borthakur Co-Founder and CTO, Rockset
Data Council Week (Ep 7) - What’s Next for Data Council? With Pete Soderling of Data Council
Data Council Week (Ep 6) - All About Debezium and Change Data Capture With Gunnar Morling of Decodable
Data Council Week (Ep 5) - The Difference Between Data Platforms and ML Platforms with Michael Del Balso of Tecton
Data Council Week (Ep 4) - Using Data Anonymization for Identity Protection With Will Thompson of Privacy Dynamics
Data Council Week (Ep 3) - GTM 101 for Engineers With Chase Roberts of Vertex Ventures
Data Council Week (Ep 2) - The Convergence of MLops and DataOps With Team Featureform
Data Council Week (Ep 1) - The Evolution of Stream Processing With Eric Sammer of Decodable
135: Database Knob Tuning and AI with Andy Pavlo and Dana Van Aken of OtterTune
The PRQL: Database Tuning and Optimization with Andy Pavlo and Dana Van Aken of OtterTune
134: Unpacking the AI Revolution and the Technology Behind A Feature-First Future with H.O. Maycotte of FeatureBase
The PRQL: AI and the Super Evolution with H.O. Maycotte, CEO at FeatureBase
133: Building the Data Warehouse for Everything Else with Sammy Sidhu of Eventual
The PRQL: Self-Driving Technology and Data Infrastructure with Sammy Sidhu, Co-Founder and CEO of Eventual
132: Data Quality and Data Contracts with Chad Sanderson of Data Quality Camp
The PRQL: The Value of Data Contracts with Chad Sanderson, Head of Data, Data Contracts Advocate, Data Quality Camp
131: How Data Teams Interact With Marketing Tools with Jason Davis of Simon Data
The PRQL: Unleashing the Potential of CDPs with Jason Davis, Co-Founder and CEO of Simon Data
130: From Business Intelligence to Product Analytics and Beyond with Vijay Ganesan of NetSpring.io
The PRQL: Business Intelligence and Product Analytics With Vijay Ganesan, Co-Founder and CEO at NetSpring.io
129: Databases, Data Warehouses, and Timeseries Data with David Kogn of Timescale
The PRQL: Time-Series Data 101
128: The Possibilities Are Endless for Synthetic Data with Alex Watson of Gretel.ai
The PRQL: Boundaries Between Synthetic Data and Prediction Models
127: The Anatomy of a Data Lakehouse with Alex Merced of Dremio
The PRQL: What Does It Mean to be a Developer Advocate?
126: Crossing the Product Analytics Chasm with Spenser Skates of Amplitude Analytics
The PRQL: Amplitude - From Startup to IPO
125: Authorization Is A Data Problem with Jeff Chao of Abbey Labs
The PRQL: Solving Identity in Marketing vs. Security
124: Pragmatism About Data Stacks with Pedram Navid of West Marin Data
The PRQL: What Does the Modern Data Stack Mean to Normal Companies?
123: What Is a Universal Database? Featuring Stavros Papadopoulos of TileDB, Inc.
The PRQL: Bringing Innovation to the Lowest Level of Databases
122: Why Accounting Needs Its Own Database with Joran Greef of Tiger Beetle
The PRQL: Do We Need A Dedicated Database for Every Use Case?
121: Materialize Origins: Breaking Down Data Flow Layers with Arjun Narayan and Frank McSherry
120: Materialize Origins: A Timely Dataflow Story with Arjun Narayan and Frank McSherry
The PRQL: What’s our first ever two-part episode about?
119: The Data Stack Show Wrapped: 2022
118: Bringing Powerful Business Intelligence to Mobile with Zack Hendlin of Zing Data
The PRQL: Do You Need Business Intelligence on Your Phone?
117: DX for Data Tooling with Taylor Murphy of Meltano
The PRQL: Is Business Logic Moving Further Down the Stack?
116: Data Democratization & Self Service with Aron Clymer of Data Clymer
The PRQL: Data Analytics: Same As It Ever Was
115: What Is Production Grade Data? Featuring Ashwin Kamath of Spectre
The PRQL: Managing Complexities of Financial Data
114: Solving Data Infrastructure Problems at Startups and Enterprises with Max Werner of Obsessive Analytics Consulting
The PRQL: The Data Switchboard
Shop Talk: Kostas Settles the Real-Time vs. Streaming Debate
113: What Is Streaming Graph? Featuring Ryan Wright of thatDot
The PRQL: Graph as a Utility
Shop Talk: What Coalesced at Coalesce?
112: Python Native Stream Processing with Zander Matheson of bytewax
The PRQL: Who Needs a Stream Processing Engine?
Shop Talk: The Business of Data Infrastructure is Uniquely Challenging
111: What if Your Code Just Ran in the Cloud for You? Featuring Erik Bernhardsson of Modal Labs
The PRQL: Erik Bernhardsson Just Can’t Stop Solving Problems
110: How Can Data Discovery Help You Understand Your Data? Featuring Shinji Kim of Select Star
Shop Talk: Why Are There So Many Flavors of Databases?
The PRQL: What is Data Discovery?
109: How Does Headless Business Intelligence Work? Featuring Artyom Keydunov and Pavel Tiunov of Cube Dev
Shop Talk: Will the Future of the Customer Data Platform Include a Shared Logic Layer?
The PRQL: What Comes to Mind When You Think of ‘Headless’?
108: You Can’t Separate Data Reliability From Workflow with Gleb Mezhanskiy of Datafold
Shop Talk: Is It Possible for Excel To Die?
The PRQL: Are Marketers the Worst Data Quality Offenders?
107: Building Modern Data Teams with dbt Labs, REI, and Robinhood
Shop Talk With Eric and Kostas: Transitioning From Consumer to Builder
The PRQL: What Can We Learn From the Patterns of Successful Data Teams?
106: Optimizing Query Workloads (and Your Snowflake Bill) with Vinoo Ganesh of Bluesky Data
Shop Talk With Eric and Kostas: Data Politicians
The PRQL: Comparing Snowflake to a Car
105: The Modern Data Stack Is Just Getting Started with Astasia Myers of Quiet Capital
The PRQL: Kostas Becomes a Prophet
104: A Decade of Change in the Data Space with Benn Stancil of Mode
The PRQL: What Does 10 Years in the Data Space Give You?
103: Everyone Is Invited to the Data Lakehouse with Kyle Weller of Onehouse.ai
The PRQL: Who Really Needs To Know How a DBMS Works?
102: Building Pinot for Real-Time, Interactive User Analytics with Kishore Gopalakrishna of StarTree
The PRQL: Data Warehouses on Steroids
101: The Future of Machine Learning with Willen Pienaar of Tecton and Tristan Zajonc of Continual
The PRQL: Can Machine Learning Be Commoditized?
100: Data Quality Is Relative to Purpose with James Campbell of Superconductive
The PRQL: What’s the Hardest Part About Data Quality?
99: State of the Data Lakehouse with Vinoth Chandar of Apache Hudi
The PRQL: Does Lakehouse Architecture Really Mean the End of the Data Warehouse and Data Lake As We Know It?
98: Category Theory and the Mathematical Foundation of the Technologies We Use with Eric Daimler of Conexus
The PRQL: Farm to Table Abstract Mathematics
97: How To Build an Organization-Empowering Data Team with Emilie Schario of Amplify Partners
The PRQL: If You Were Building a Data Team What Would Your First Hire Be?
96: How To Collect and Leverage Data From the Physical World with Prateek Joshi of Plutoshift
The PRQL: Collecting Data in the Physical World
95: How the Metrics Layer Bridges the Gap Between Data & Business with Nick Handel of Transform
The PRQL: Data Marts Aren’t Just for the Enterprise
94: Notebooks Aren’t Just for Data Scientists With Barry McCardel of Hex Technologies
The PRQL: Have You Ever Been a Part of a Company That Has Done Analytics Really Well?
93: There Is No Data Observability Without Lineage with Kevin Hu of Metaplane
The PRQL: What Are the Similarities Between VCs and Tilapia?
92: Building a Decentralized Storage System for Media File Collaboration with Tejas Chopra
The PRQL: What is Netflix Cloud?
91: The Future of Streaming Data with Stripe, Deephaven, Materialize, and Benthos
The PRQL: Can Streaming Simplify Your Data Flows?
90: The Modern Data Stack Has a Join Problem with Ahmed Elsamadisi of Narrator AI
The PRQL: Can One Table Rule Them All?
89: Solving Microservice Orchestration Issues at Netflix with Viren Baraiya of Orkes
The PRQL: What are the Different Flavors of Orchestration?
88: What Is Data Observability? With Tristan Spaulding of Acceldata
The PRQL: Does Data Exist if We Do Not Observe It?
87: Why Is Now the Golden Age of Data Analytics? With Cindi Howson of ThoughtSpot
The PRQL: Can You Trust AI Enabled Analytics?
86: Solving the Data Quality Problem with Bigeye, Great Expectations, Metaplane, and Lightup.ai
85: You Can Stop Doing Data Fire Drills with Barr Moses of Monte Carlo
The PRQL: Be Careful, Young Padawan, When Comparing Software Observability and Data Observability
Data Council Week (Ep 5): A Primer on Spatial Data With Gabriel Hidalgo of Carto
Data Council Week (Ep 4): The Data Council Origin Story With Pete Soderling
Data Council Week (Ep 3): Product Analytics the Right Way With James Greenhill of PostHog
Data Council Week (Ep 2): Testing and Observability Are Two Sides of the Same Coin With Ben Castleton of Great Expectations
Data Council Week (Ep 1): Discussing Firebolt’s Engine With Benjamin HoppDiscussing Firebolt’s Engine With Benjamin Hopp
The PRQL: A Data Council Austin Quintuple
The Data Stack Show Live: Solving the Data Quality Problem
84: Why Are Analytics Still So Hard? With Kaycee Lai of Promethium
The PRQL: Does Putting All Your Data in One Place Create More Problems Than it Solves?
83: Closing the Gap Between Business Analytics and Operational Analytics With Max Beauchemin of Preset
The PRQL: BI, Real-Time, and Data Tooling
82: Databases: The Fun Never Stops with Robert Hodges of Altinity
The PRQL: What Inspires Continued Innovation in Databases?
81: Digging into Data Ops with Prukalpa Sankar of Atlan
The PRQL: Data Team Diversity & Maturing Data Ops
80: Is Reverse-ETL Just Another Data Pipeline? With Census, Hightouch, & Workato
The PRQL: Is Reverse ETL New or Old?
79: All About Experimentation with Che Sharma of Eppo
The PRQL: Is A/B Testing Only Relevant for B2C?
78: The Etymology of Reverse ETL & Why It’s a Key Piece Of The Modern Data Stack with Boris Jabes of Census
The PRQL: Reverse ETL and the Distinction Between Operation vs Analysis on Data
77: Standardizing Unstructured Data with Verl Allen of Claravine
The PRQL: If Everything Is Data, How Can We Make Sense of It All?
76: Why a Data Team Should Limit Its Own Superpowers with Sean Halliburton of CNN
The PRQL: How Important Is the Human Factor When Working With Data?
75: How To Become a Data Engineer with Parham Parvizi of the Data Stack Academy
The PRQL: Can We Define the Role of the Data Engineer (Yet)?
74: Kostas Respawns at Starburst, is Interviewed by Eric, and Reminisces About Winamp
The PRQL: What Prompts a Conversation About Winamp & Quake Arena on The Data Stack Show?
73: What a High Performing Data Team (and Stack) Looks Like with Paige Berry of Netlify
The PRQL: How High Performing Data Teams Put Tooling in the Background
72: Building Data Ops Into the Data Lifecycle with Douwe Maan of Meltano
The PRQL: Is It Viable to Manage Integrations Open Source?
71: ETL at the Edges with Jimmy Chan of Dropbase
The PRQL: Is Kostas an Excel Power User Yes/No?
70: The Difference Between Data Lakes and Data Warehouses with Vinoth Chandar of Apache Hudi
The PRQL: What Old Tech Concepts Were Borrowed to Build the Data Lake House?
69: What is the Modern Data Stack?
The PRQL: Should Data Trust Drive the Evolution of Your Data Stack?
68: Season Three Recap: Holiday Edition with Eric Dodds and Kostas Pardalis
67: Now is the Time to Think About Data Quality with Manu Bansal of Lightup Data
The PRQL: Will Data Quality Always Require a Human in the Loop?
66: How Data Infrastructure Has Evolved and Managing High Performing Data Teams with Srivatsan Sridharan
The PRQL: How Would You Define a Data Pipeline? Featuring the RudderStack Eng. Team
65: Operationalizing Data from the Warehouse With Aayush Jain of Cliff.ai
The PRQL: Why is the Data Engineer's Role Expanding?
64: Data Stack Composability and Commoditization with Michel Tricot of Airbyte
The PRQL: The Beauty of Commoditization
63: The ETL - ELT Flip With Ciaran Dynes of Matillion
The PRQL: What Part of the Data Stack Will Be Commoditized Next?
62: The Internet of Everything with Rob Rastovich of ThingLogix
The PRQL: Are you afraid of IOT?
61: What is Data Design? With Kevin Gervais of Touchless
The PRQL: Will we ever get rid of the CSV?
Data Debrief: The Highs and Lows of Open Source Projects
60: Architecting a Boring Stream Processing Tool With Ashley Jeffs of Benthos
Data Debrief: What Open Source Data Projects Have Come Out of Facebook, Whoops, *Meta?
59: Making ETL Optional with Justin Borgman of Starburst Data
Data Debrief: Will Enterprise Build The Future of Data Tooling?
58: Data Federation is No Longer The "F" Word with Scott Gnau of InterSystems
Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?
57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye
56: Stream Processing and Observability with Jeff Chao of Stripe
55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs
54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel
53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC
52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY
51: Democratizing AI and ML with Tristan Zajonc of Continual
50: From Data Infrastructure to Data Management with Ananth Packkildurai
49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook
48: Season Two Recap with Eric Dodds and Kostas Pardalis
47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe
46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize
45: Open Source and Attribution with Ophir Prusak of Codesmith
44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics
43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev
42: Scaling Data Science with Ryan Boyer of Shipt
41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio
40: Graph Processing on Snowflake for Customer Behavioral Analytics
39: Diving deeper into CDC with Ali Hamidi and Taron Foxworth of Meroxa
38: Graph Databases & Data Governance with David Allen of Neo4j
37: The Components of Data Governance with Dave Melillo of FanDuel
36: Crypto and Compliance with Nick Fogle, Co-Founder of Churnkey and Wavve
35: The Future of Development is Distributed with Jim Walker of Cockroach Labs
34: The Intersection of Data Engineering and Marketing with John Marbachm of Grafana Labs
33: ML is a Data Quality Problem with Peter Gao from Aquarium Learning
32: Cooking with Data Ops with Chris Bergh from DataKitchen
31: How a 160 Year-Old Publisher is Using Data with Jenna Lemonias From the Atlantic
30: The DataStack Journey with Rachel Bradley-Haas and Alex Dovenmuehle of Big Time Data
29: The Present and Future of Data Engineering with Joe Reis and Matthew Housley from Ternary Data
28: Next Gen Data Governance with Stefania from Avo
27: Building B2B Marketplaces with Mike Luby from LeafLink
26: Democratizing the Insurance Market with Daniel Gremmell from Policygenius Inc.
25: MLOps and Feature Stores with Willem Pienaar from Tecton
24: Demystifying AI with Duc Haba
23: Migrating from On-Premises to the Cloud with Alex Lancaster from Intuit
22: Season One Recap with Eric Dodds and Kostas Pardalis
21: Data Integrity and Governance with Patrick Thompson and Ondrej Hrebicek from Iteratively
20: Transforming the Real Estate Market with Predictive Analytics with Arian Osman from Homesnap
19: Defining Data Governance with Stephen Bailey from Immuta
18: Data Science in Health Insurance with Jason Haupt of Bind
17: Working with Data at Netflix with Ioannis Papapanagiotou
16: Applying the Event Sourcing Pattern at Scale with Andrew Elster from Earnnest
15: Early Stage Analytics and Learning from the Y Combinator Experience with Axel Delafosse from Pool
14: Breaking Down Electronic Money Transfers and Modernizing Real Estate Transactions with Dan Jeffords of Earnnest
13: Building Open Source Products at Scale with Reza Shafii from Kong Inc.
12: Building a CDP on your Data Warehouse with Nicholas Ziech-Lopez of MessageGears
11: Why Modern Cyber Security is a Data Problem with Jack Naglieri of Panther Labs
10: The Evolution of the BI Market with Huy Nguyen of Holistics
09: Building the Operating System for Work with Ivan Kanevski of Slapdash
08: When data alone is not enough - Reinventing book shopping at Bookshop.org with Mason Stewart
07: Discussing Data Engineering Best Practices with IFTTT’s Peter Darche
06: The Technical Challenges and Opportunities of Building a Startup Inside a Large Bank with Sam Bledsoe of Ruby
05: The Convergence of Data Engineering and Marketing with Nic Discepoli of Ruby
04: Relational to Real-Time with Change Data Capture with DeVaris Brown of Meroxa
03: Turning All Data at Grofers into Live Event Streams
02: The Importance of Data During a Global Pandemic with Utkarsh Gupta of 1mg
01: Discussing Mattermost Data Infrastructure with Alex Dovenmuehle
00: Welcome to the Data Stack Show