Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness (Early Release)КНИГИ » ОС И БД
Название: Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness (Early Release) Автор: Evren Eryurek, Uri Gilad, Valliappa Lakshmanan Издательство: O’Reilly Media, Inc. Год: 2020 Язык: английский Формат: epub Размер: 10.1 MB
As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency.
With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You’ll explore how to create a strategy and tooling to support the democratization of data and governance principles.
Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how.
Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company’s data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization’s people, processes, and tools to operationalize data trustworthiness
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Semantic Modeling for Data (Early Release) Название: Semantic Modeling for Data (Early Release) Автор: Panos Alexopoulos Издательство: O’Reilly Media Год: 2020-04-20 Формат: epub/pdf(conv.)...
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Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness (Early Release) 
Название: Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness (Early Release) 
