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The Data Engineering Show - Podcast

The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory, and learn from the biggest influencers in tech about their practical day to day data challenges and solutions in a casual and fun setting.

YouTube · US · Official site

Indexed videos, last 90 days
12
Latest publication
Aug 28, 2026
Audience
~69.8K subscribers
Earliest in this view
Jul 21, 2026
The latest indexed work is over 30 days old. There may be a gap in what we hold.

Latest videos

  1. Video · Aug 28, 2026

    AI Still Needs Humans to Maintain Data Platforms #dataengineering #dataanalytics #datascience (opens the original)

    Excerpt · 1 min · 105 views by Oct 1, 2026

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    While autonomous agents are highly capable, integrating them into existing, complex data environments comes with distinct challenges. Xavier Gumara Rigol highlights the practical realities of applying AI to current data systems and why human oversight remains critical. What stood out: The Reality of Current Systems: Most existing data platforms are simply not ready to be fully maintained or improved by AI agents. Greenfield vs. Brownfield: Implementing AI is highly feasible when building from sc

  2. Video · Aug 18, 2026

    Natural Language Is Transforming Data Analytics #dataengineering #dataanlysis #datascience (opens the original)

    Excerpt · Positive tone · 1 min · 10 views by Oct 1, 2026

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    Translating natural language into SQL is quickly becoming a practical capability for data teams. Xavier Gumara Rigol breaks down how foundational models have drastically improved at writing SQL and how teams are actively utilizing tools like Claude Code to query their data. The core approach focuses on: New Capabilities: Text-to-SQL models have matured significantly over a short period, enabling broader organizational access to data. Organic Adoption: Teams naturally want to connect to their dat

  3. Video · Aug 18, 2026

    AI Enables People to Expand Their Organizational Roles #dataengineering #dataanlysis #dataanalytics (opens the original)

    Excerpt · Positive tone · 1 min · 145 views by Oct 1, 2026

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    The traditional boundaries between engineering, product management, and data analysis are blurring. In our latest conversation with Xavier Gumara Rigol, we discuss how AI is empowering individuals to step outside their original job descriptions and self-serve their data needs. What we uncovered: Blurring Lines: Product managers can now independently handle analyst-type workloads using modern tooling. The Power of Self-Serve: AI enables teams to access insights directly, reducing dependencies on

  4. Video · Aug 18, 2026

    How AI Is Reshaping Modern Data Teams and the Future of Platforms with Xavier Gumara Rigol (opens the original)

    Excerpt · Positive tone · 20 min · 739 views by Oct 1, 2026

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    In this episode of the Data Engineering Show, host Benjamin sits down with Xavier Gumara Rigol, Head of Data at Manychat, to discuss how artificial intelligence is fundamentally transforming data roles, organizational structures, and the future of analytics platforms while creating new types of work rather than eliminating existing ones. **Chapters:** [00:00] - Intro [00:52] - Meet Xavier: Head of Data at Manychat [01:48] - How AI is Transforming Data Team Roles [05:28] - Reorganizing Data Teams

  5. Video · Aug 17, 2026

    Modern Products Depend on Reliable Data #DataPipelines #DataReliability #DataEngineering (opens the original)

    Excerpt · 1 min · 197 views by Oct 1, 2026

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    Data pipelines are no longer just feeding internal dashboards - they are actively powering customer-facing features. This week on The Data Engineering Show, we’re joined by Andrew Jones from LocalStack to explore why data reliability must be treated with the same engineering discipline as core product software. We explored the framework for scaling these capabilities: Shift in Data Utility: Moving from non-critical internal analytics to core product dependencies changes operational requirements.

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Audience

~69.8K subscribers

Measured Sep 19, 2026

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