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ferd.ca | ||
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henrikwarne.com
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| | | | | What a great book Designing Data-Intensive Applications is! It covers databases and distributed systems in clear language, great detail and without any fluff. I particularly like that the author Martin Kleppmann knows the theory very well, but also seems to have a lot of practical experience of the types of systems he describes. There is... | |
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my-it-notes.com
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| | | | | Databases - how they work under the hood?Key takeaways from brilliant book "Designing data intensive application" - to quickly recap core concepts. DB engines classifications Type of load: OLTP (transaction processing) vs OLAP (data warehousing and analytics) Relational vs NoSQL, document vs columnar, graph vs triple-store (semantic facts storage) Even within NoSQL camp you can ... | |
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blog.thislongrun.com
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| | | | | CAP theorem and databases: definitions of ACID, Atomic, Consistent, Isolated, Durable vs. available and partition. | |
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rmoff.net
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| | | [AI summary] This article discusses the evolution of data engineering in 2022, focusing on storage and access methods for analytical data, including the transition from traditional data warehouses to modern data lakehouses and open formats. | ||
