Super Data Science: ML & AI Podcast with Jon Krohn cover image

Super Data Science: ML & AI Podcast with Jon Krohn

499: Data Meshes and Data Reliability

Aug 24, 2021
Guest Barr Moses discusses the importance of data reliability for pipelines and data mesh. Topics include self-serve data reliability, using Monte Carlo for data uptime, building effective data science teams, and LinkedIn Q&A.
53:51

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Data Mesh enables decentralized data ownership for faster team movement.
  • Self-serve data reliability involves monitoring metrics for accurate decision-making.

Deep dives

Data Reliability and Customer Focus at Monte Carlo

Monte Carlo, a data reliability company, focuses on ensuring data pipelines are reliable 24/7 for high-quality data. The CEO, Barr Moses, emphasizes measuring in minutes and customer impact, where each day varies in challenges and outcomes. The team adapts to constant changes and genuinely values customer satisfaction, aligning every effort towards customer success.

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