Data Engineering Essentials
Data engineers must be well-versed in relational databases, as they often serve as the primary source for data. Understanding APIs is crucial, whether for external data ingestion or internal data serving. Additionally, leveraging processing frameworks like Apache Spark and tools for data storage is essential for managing larger datasets effectively.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
657: How to Learn Data Engineering — with Andreas Kretz (@andreaskayy)
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