| 書目名稱 | Practical Implementation of a Data Lake | | 副標題 | Translating Customer | | 編輯 | Nayanjyoti Paul | | 視頻video | http://file.papertrans.cn/754/753058/753058.mp4 | | 概述 | Provides design and architecture blueprint for implementing every component of a data lake.Covers production operationalization and solutions to implement a production setup.Explains how to divide you | | 圖書封面 |  | | 描述 | .This book explains how to implement a data lake strategy, covering the technical and business challenges architects commonly face. It also illustrates how and why client requirements should drive architectural decisions...?..Drawing upon a specific case from his own experience, author Nayanjyoti Paul begins with the consideration from which all subsequent decisions should flow: what does your customer need? He also describes the importance of identifying key stakeholders and the key points to focus on when starting a new project. Next, he takes you through the business and technical requirement-gathering process, and how to translate customer expectations into tangible technical goals. From there, you’ll gain insight into the security model that will allow you to establish security and legal guardrails, as well as different aspects of security from the end user’s perspective. You’ll learn which organizational roles need to be onboarded into the data lake, their responsibilities, the services they need access to, and how the hierarchy of escalations should work. Subsequent chapters explore how to divide your data lakes into zones, organize data for security and access, manage data | | 出版日期 | Book 2023 | | 關鍵詞 | Data Lake; Data Strategy; Data Engineering; Data Mesh; Data Quality; Security; Cloud Computing; AWS | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-9735-3 | | isbn_softcover | 978-1-4842-9734-6 | | isbn_ebook | 978-1-4842-9735-3 | | copyright | Nayanjyoti Paul 2023 |
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