Data Engineering Essentials
Latency is a critical concern for data engineers, as it directly impacts the optimization of systems and processes. Data engineers play a vital role in transforming raw data into high-quality, consistent information that supports various downstream use cases, including machine learning and analytics. By effectively serving the needs of data scientists, they flip the traditional funnel of data processing on its head.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 595: Data Engineering 101 — with Joe Reis and Matt Housley
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