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    Technology

    The Data Stack Show

    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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    Copyright: © 2021 The Data Stack Show

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    Latest Episodes:
    181: OLAP Engines and the Next Generation of Business Intelligence with Mike Driscoll of Rill Data Mar 13, 2024
    Show notes

    Highlights from this week’s conversation include:

    • Michael’s background and journey in data (0:33)
    • The origin story of Druid (2:39)
    • Experiences and growth in Data (8:08)
    • Druid's evolution (21:46)
    • Druid's architectural decisions (26:32)
    • The user experience (30:06)
    • The developer experience (35:14)
    • The evolution of BI tools (40:55)
    • Data architecture and integration (47:53)
    • AI's impact on BI (52:26)
    • What would Mike be doing if he didn’t work in data? (56:27)
    • Final thoughts and takeaways (57:02)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The PRQL: Making the Data Stack Serverless in the Cloud with Mike Driscoll of Rill Data Mar 11, 2024
    Show notes

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    180: Data Observability and AI for Data Operations Featuring Kunal Agarwal of Unravel Data Mar 06, 2024
    Show notes

    Highlights from this week’s conversation include:

    • The evolution of data operations (1:13)
    • Unravel's role in simplifying data operations (2:17)
    • Kunal’s journey from fashion to enterprise data management (5:23)\
    • The Unravel platform and its components (10:08)
    • Challenges in data operations at scale (16:34)
    • Users of Unravel within an organization (22:32)
    • Calculating ROI on data products (25:55)
    • Understanding the cost of data operations (27:01)
    • Measuring productivity and reliability (30:59)
    • Diversity of technologies in data operations (34:52)
    • Efficiency in cost management (44:15)
    • Implementing observability in AI (47:55)
    • Challenges of AI Adoption (50:17)
    • Final thoughts and takeaways (51:36)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The PRQL: What’s Driving The Evolution of Data Operations? Featuring Kunal Agarwal of Unravel Data Mar 04, 2024
    Show notes

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


    179: Time Series Data Management and Data Modeling with Tony Wang of Stanford University Feb 28, 2024
    Show notes

    Highlights from this week’s conversation include:

    • Tony's background and research focus (3:35)
    • Challenges in academia and industry (6:15)
    • Ph.D. student's routine (10:47)
    • Academic paper review process (15:26)
    • Aha moments in research (20:05)
    • Academic lab structure (23:09)
    • The decision to move from hardware to data research (24:43)
    • Research focus on time series data management (27:40)
    • Data modeling in time series and OLAP systems (32:01)
    • Issues and potential solutions for parquet format (37:32)
    • Role of external indices in parquet files (42:19)
    • Tony's open source project (47:11)
    • Final thoughts and takeaways (49:30)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The PRQL: How is Academic Research Shaping the Future of Data Processing Systems? Featuring Tony Wang of Stanford University Feb 26, 2024
    Show notes

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


    178: How to Build a Data Stack to Win PLG, Featuring Peter Chapman Feb 21, 2024
    Show notes

    Highlights from this week’s conversation include:

    • Peter's background and journey in data (0:26)
    • Introduction to PLG (4:18)
    • Starting in data at Heroku (6:05)
    • Building the data stack at Heroku (8:13)
    • Data stack requirements for early-stage companies (12:00)
    • Differentiating PLG companies from open source companies (19:26)
    • Venture capital and open source as a lever for growth (22:56)
    • Initial data modeling and analysis (25:38)
    • Operationalizing Data (29:16)
    • Sales and Marketing Operationalization (31:52)
    • Identifying Signals (34:16)
    • Challenges in Developing Signals (37:07)
    • Account Management for Developer Tools (42:30)
    • Challenges in Achieving Margins (45:02)
    • Leveraging Infrastructure for Margins (47:35)
    • Inference vs Training (54:55)
    • Final thoughts and takeaways (57:02)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The PRQL: Building a Future-Proof Data Stack from Day Zero? Featuring Peter Chapman Feb 19, 2024
    Show notes

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


    177: AI-Based Data Cleaning, Data Labelling, and Data Enrichment with LLMs Featuring Rishabh Bhargava of refuel Feb 14, 2024
    Show notes

    Highlights from this week’s conversation include:

    • The overview of refuel (0:33)
    • The evolution of AI and LLMs (3:51)
    • Types of LLM models (12:31)
    • Implementing LLM use cases and cost considerations (00:15:52)
    • User experience and fine-tuning LLM models (21:49)
    • Categorizing search queries (22:44)
    • Creating internal benchmark framework (29:50)
    • Benchmarking and evaluation (35:35)
    • Using refuel for documentation (44:18)
    • The challenges of analytics (46:45)
    • Using customer support ticket data (48:17)
    • The tagging process (50:18)
    • Understanding confidence scores (59:22)
    • Training the model with human feedback (1:02:37)
    • Final thoughts and takeaways (1:05:48)

    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.


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The PRQL: Exploring the Evolution of AI and ML with Rishabh Bhargava of refuel Feb 12, 2024
    Show notes

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


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