Piethein Strengholt
人物简介:
Piethein Strengholt likes to find practical and lasting solutions to complex problems. After working for more than a decade as a strategy consultant and freelance application developer, he joined ABN AMRO as a principal architect to accelerate subjects like data management, cloud, and integration. In this exciting role, he oversees the company’s data strategy and its impact on the organization. He lives in the Netherlands with his family.
Data Management at Scale书籍相关信息
- ISBN:9781492054788
- 作者:Piethein Strengholt
- 出版社:O'Reilly Media
- 出版时间:2020-8-11
- 页数:348
- 价格:USD 43.29
- 纸张:暂无纸张
- 装帧:Paperback
- 开本:暂无开本
- 语言:暂无语言
- 适合人群:Data Engineers, Database Administrators, IT Professionals, System Architects, Data Scientists, Developers, Business Analysts, and anyone interested in understanding how to manage large-scale data systems.
- TAG:Cloud computing / NoSQL / Database Management / Data Storage / System Design / Big Data / Scalability / Data Architecture
- 豆瓣评分:暂无豆瓣评分
- 更新时间:2025-05-07 13:38:20
内容简介:
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
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