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

Super Data Science: ML & AI Podcast with Jon Krohn

595: Data Engineering 101

Jul 26, 2022
Join Joe Reis and Matt Housley as they chat with Jon Krohn about data engineering basics, distinctions between data scientists and engineers, tools, top techniques, undercurrents in the data engineering lifecycle, trade-offs in data pipelines, and favorite data engineering tools and techniques.
01:19:29

Podcast summary created with Snipd AI

Quick takeaways

  • Effective communication with downstream stakeholders is key for data engineers, ensuring alignment and optimizing data flows.
  • Assessing latency trade-offs helps data engineers optimize processing, reduce time to value, and deliver insights faster.

Deep dives

Importance of Effective Communication in Data Engineering

Communication with downstream stakeholders is crucial for data engineers, as it ensures alignment between the data engineering process and the needs of end users. Bidirectional communication helps in understanding requirements, optimizing data flows, and improving collaboration between data engineers and application developers.

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