Data Management at Scale: Best Practices for Enterprise Architecture
- Downloads：6279
- Type：Epub+TxT+PDF+Mobi
- Create Date：2022-01-19 06:55:34
- Update Date：2025-09-06
- Status：finish
- Author：Piethein Strengholt
- ISBN：149205478X
- Environment：PC/Android/iPhone/iPad/Kindle
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Summary
As data management and integration continue to evolve rapidly， storing all your data in one place， such as a data warehouse， is no longer scalable。 In the very near future， data will need to be distributed and available for several technological solutions。 With this practical book， you'll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption。
Executives， data architects， analytics teams， and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture， which you can introduce incrementally without a large upfront investment。 Author Piethein Strengholt provides blueprints， principles， observations， best practices， and patterns to get you up to speed。
Examine data management trends， including technological developments， regulatory requirements， and privacy concerns
Go deep into the Scaled Architecture and learn how the pieces fit together
Explore data governance and data security， master data management， self-service data marketplaces， and the importance of metadata
Executives， data architects， analytics teams， and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture， which you can introduce incrementally without a large upfront investment。 Author Piethein Strengholt provides blueprints， principles， observations， best practices， and patterns to get you up to speed。
Examine data management trends， including technological developments， regulatory requirements， and privacy concerns
Go deep into the Scaled Architecture and learn how the pieces fit together
Explore data governance and data security， master data management， self-service data marketplaces， and the importance of metadata
Reviews
Peter Rybarczyk
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Summary:It is an excellent book about data architecture in a modern company， but unfortunately， it lacks real-life examples， so 4。5/5As the title suggests， it is mostly about enterprise solutions， so do not expect that patterns here will be essential for you if you are a smaller company， but still， it's worth reading it to know what you can expect in the future。 Pros。- Gives an excellent overview of 3 main concepts of data communication patterns: RDS， API & Event Streaming。 - A lot， really， a lo Summary:It is an excellent book about data architecture in a modern company， but unfortunately， it lacks real-life examples， so 4。5/5As the title suggests， it is mostly about enterprise solutions， so do not expect that patterns here will be essential for you if you are a smaller company， but still， it's worth reading it to know what you can expect in the future。 Pros。- Gives an excellent overview of 3 main concepts of data communication patterns: RDS， API & Event Streaming。 - A lot， really， a lot of information about metadata concepts， values & patterns。 Thanks to it， I finally understood why this is so important。- It covers all from the data warehouse to data mesh and adds examples of connecting all of those dots。- It probably contains the best explanation of what a golden source （source of truth） is and why this is so important in a distributed world。- A lot of links to different open-source packages or commercial solutions to solve particular issues described in the book。 Cons- All examples in the book are very high-level。 It'd be great if there were some appendix with more real-life problems。 。。。more
Gabriel Santos
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This is one of the best data Architecture books that I have ever read。 The book beautifully addresses the disruption of data management in large scales。 It is a dense book that runs the whole gamut of data architecture， from data domains to metadata management。 It is highly recommended for modern enterprise architects that care about the way data flows through company。
Bas Langenberg
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Great read on modern data management。 Could use a bit more practical examples， in my opinion。
Sébastien
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Extensive resource on data-management。 A MUST read for anyone involved in data governance。
Cezar
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Great book， describes data architecture in modern world。 Very inspiring！
Pavel Švec
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Very useful overview of modern data management disciplines， all glued together in an proposed architecture concept。 Highly recommended for all data architects！
John White
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