The Data Platform Handbook - Estrada, Jane
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Design, implement, and manage a future-ready Data Platform that transforms data into a strategic asset. Data is valuable only when it is meaningful and accessible. A Data Platform provides a centralized, integrated ecosystem, enabling mid-to-large enterprises to distribute, manage, and leverage data for intelligent, data-driven decision-making. A well-designed Data Platform is essential for executing an enterprise's data strategy, providing a unified data foundation where consolidated technologies, processes, and governance frameworks enable agility in achieving business objectives. This book…mehr

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Design, implement, and manage a future-ready Data Platform that transforms data into a strategic asset. Data is valuable only when it is meaningful and accessible. A Data Platform provides a centralized, integrated ecosystem, enabling mid-to-large enterprises to distribute, manage, and leverage data for intelligent, data-driven decision-making. A well-designed Data Platform is essential for executing an enterprise's data strategy, providing a unified data foundation where consolidated technologies, processes, and governance frameworks enable agility in achieving business objectives. This book is for Data Stewards, Data Custodians, Data Architects, Solution Architects, Data Engineers, and Data Governance teams seeking to understand the core principles of an effective Data Platform ecosystem. It offers vendor-agnostic insights into evaluating Data Platform providers or developing your own Data Platform. You will learn: 1. * The evolution of data warehousing, drawing lessons from the past to address modern data challenges. * The benefits of a Data Platform, including scalability, governance, and data-driven innovation. * A data domain-driven approach, ensuring subject matter expertise-centered data management. * Best practices for designing a scalable and evolving Data Platform. * A deep dive into each layer of the Data Platform, exploring their roles and interactions. * Comprehensive data modeling strategies, with a focus on the Common Data Model (CDM). * Governance frameworks for data producers and consumers, ensuring consistency, security, and compliance.