499: Data Meshes and Data Reliability

Barr Moses joins us to discuss the importance of data reliability for pipelines and how companies can achieve data mesh.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "499: Data Meshes and Data Reliability" was published on August 24, 2021 and runs 53 minutes.

August 24, 2021 ·53m · Super Data Science: ML & AI Podcast with Jon Krohn

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Summary

Barr Moses joins us to discuss the importance of data reliability for pipelines and how companies can achieve data mesh. In this episode you will learn: Data meshes [4:25] Self-serve data reliability [15:36] How Monte Carlo helps data up time [21:13] How to build an effective data science team [26:50] LinkedIn Q&A [31:50] Additional materials: www.superdatascience.com/499

Episode Description

Barr Moses joins us to discuss the importance of data reliability for pipelines and how companies can achieve data mesh. In this episode you will learn: Data meshes [4:25] Self-serve data reliability [15:36] How Monte Carlo helps data up time [21:13] How to build an effective data science team [26:50] LinkedIn Q&A [31:50] Additional materials: www.superdatascience.com/499

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