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The Data Stack Show

Podcast 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 dat...

Episódios Disponíveis

5 de 429
  • 232: Building a Business Solo: Streaming Data, Synthetic Testing, and Startup Lessons with Michael Drogalis of ShadowTraffic.io
    Highlights from this week’s conversation include:Michael's Background and Journey in Data (0:24)Synthetic Data Challenges (1:49)Open Source Project Development (4:20)Founding Distributed Masonry (5:56)Acquisition by Confluent (7:27)Introduction to Shadow Traffic (10:57)Observations on Streaming Data (12:33)Importance of Timestamps in Testing (16:22)Customer Workflows with Shadow Traffic (19:09)Artificial Intelligence in Data Generation (22:13)Advantages of Domain-Specific Language (DSL) (25:14)Solopreneurship Insights (26:53)Exit Criteria for Startup Focus (30:12)The Feedback Loop (33:51)Balancing Customer Needs and Vision (35:02)Navigating Administrative Tasks (38:15)Expected Value Mindset (41:00)Solopreneur Efficiency (43:01)Maximizing Velocity (46:06)Final Thoughts and Takeaways (47:34)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.
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  • The PRQL: Solopreneurship, Streaming Data, and Synthetic Testing with Michael Drogalis of ShadowTraffic.io
    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.
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  • 231: From Pre-Med to Product Strategy: Eric Dodds’ Journey in Data and Startups
    Highlights from this week’s conversation include:Early Aspirations: Becoming a Doctor (1:09)The Shift to Business Studies (3:54)Father's Influence on Career Path (4:39)Interest in Statistics and Psychology (6:47)Networking and Early Career (10:24)Developing a Passion for Data (12:09)Joining a Startup Accelerator (17:30)Data and Engagement Metrics (21:39)Lessons on Data Fidelity (23:40)Entrepreneurial Journey in a VC-Backed Incubator (26:15)Software Engineering School Initiative (30:21)Growth and Market Timing (35:08)Post-Exit Consultancy Experience (36:36)Finding RudderStack (38:53)  Behavioral Data Revolution (40:44)Advice for Aspiring Product Managers (44:20)Understanding Customer Pain Points (46:29)Final Thoughts and Takeaways (47:03)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.
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  • 230: The Cynical Data Guy: Data Tech Debt, Data Mesh, and Dashboard Directives
    Highlights from this week’s conversation include:The Return of the Cynical Data Guy (0:14)Risks of SQL Complexity (2:16)Technical Debt in Data (4:34)Data Mesh Critique (6:38)Governance vs. Decentralization (9:55)Never Let a Stakeholder Tell You They Need a Dashboard (12:05)Dashboard vs. Table (13:34)Organizational Dynamics in Data Requests (16:35)AI and Prompt Writing (19:43)Search Techniques and User Behavior (21:20)Discussion on Code Optimization Tools (23:19)Final Thoughts and Takeaways (24:47)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.
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  • 229: The Future of AI: Superhuman Intelligence, Autonomous Coding, and the Path to AGI with Misha Laskin of ReflectionAI
    Highlights from this week’s conversation include:Misha's Background and Journey in AI (1:13)Childhood Interest in Physics (4:43)Future of AI and Human Interaction (7:09)AI's Transformative Nature (10:12)Superhuman Intelligence in AI (12:44)Clarifying AGI and Superhuman Intelligence (15:48)Understanding AGI (18:12)Counterintuitive Intelligence (22:06)Reflection's Mission (25:00)Focus on Autonomous Coding (29:18)Future of Automation (34:00)Geofencing in Coding (38:01)Challenges of Autonomous Coding (40:46)Evaluations in AI Projects (43:27)Example of Evaluation Metrics (46:52)Starting with AI Tools and Final Takeaways (50:35)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.
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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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