Data Management at Scale: Best Practices for Enterprise Architecture : Strengholt, Piethein by Piethein Strengholt


Data Management at Scale: Best Practices for Enterprise Architecture : Strengholt, Piethein
Title : Data Management at Scale: Best Practices for Enterprise Architecture : Strengholt, Piethein
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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, youll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a 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 concernsGo deep into the Scaled Architecture and learn how the pieces fit togetherExplore data governance and data security, master data management, self service data marketplaces, and the importance of metadata

Data Management at Scale: Best Practices for Enterprise Architecture : Strengholt, Piethein Reviews

  • Petr

    I have 10+ years in IT and Data Management. This book is a must read for every data professional. Enjoyed every page.

  • Sr Data Architect

    Very disappointing book.The sentences and paragraphs don't flow together in any meaningful way – they seem disjointed and randomly assembled without care. This makes for a highly frustrating and jarring read.Aside from the content linking sentences, the content within sentences is also disappointing. Nearly all definitions provided are simply inadequate for the general purpose audience that the book ostensibly targets. The text seems to carelessly introduce terms into an overly convoluted framework and then use these terms without any real consistency or rigor, making it a daunting task to pinpoint the basic ideas in this larger framework. The goal is overly ambitious and the implementation is deeply lacking. Rather than erecting this highly complicated, esoteric framework (which anyways is poorly described), the text would be FAR useful if it provided practical insights into how organizations ought to manage data at scale.Most importantly, this text reflects very poorly on the O'Reilly editors who should have compressed each chapter by 40% to give their readers even a hope of taking away learnings.

  • Nataliya

    All concepts well explained, makes hard concepts easy! The best book I have read on the modern data architecture approach.