Designing Data-Intensive Applications by Martin KleppmannMy rating: 4 of 5 stars
Hooter: A foundational view into building big data based applications
This is what you would call an academic approach to Data Engineering - not a corporate cookbook to apply hacks but actually get your fundamental bearings right. Taking the key tenets of data engineering and showcasing the key similarities and differences with each approach, Martin takes you through the structured way of thinking about designing applications that are data heavy.
The clear summary is there is no one technology that is the messiah of all problems, but instead understanding their strengths and weaknesses help identify what combination would work for an end to end business outcome. A good foundational read for individuals looking to build their data engineering careers.
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