Communication in Data Engineering
Effective communication is crucial for data engineers, as a significant percentage of project challenges stem from misunderstandings with stakeholders. Understanding latency and its trade-offs is equally important; using the right database type can greatly impact performance, especially when dealing with large datasets. Transitioning from transactional to columnar databases illustrates the need for engineers to grasp these concepts to optimize their work.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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