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Название: Designing Data Governance from the Ground Up: Six Steps to Build a Data-Driven Culture
Автор: Lauren Maffeo
Издательство: Pragmatic Bookshelf
Год: January 2023 (Version: P1.0)
Страниц: 191
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB
Businesses own more data than ever before, but it’s of no value if you don’t know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production. But doing it well is far from easy: Less than one fourth of business leaders say their organizations are data driven. In Designing Data Governance from the Ground Up, you’ll build a cross-functional strategy to create roadmaps and stewardship for data-focused projects, embed data governance into your engineering practice, and put processes in place to monitor data after deployment. In the last decade, the amount of data people produced grew 3,000 percent. Most organizations lack the strategy to clean, collect, organize, and automate data for production-ready projects. Without effective data governance, most businesses will keep failing to gain value from the mountain of data that’s available to them. There’s a plethora of content intended to help DataOps and DevOps teams reach production, but 90 percent of projects trained with Big Data fail to reach production because they lack governance.
Автор: Lauren Maffeo
Издательство: Pragmatic Bookshelf
Год: January 2023 (Version: P1.0)
Страниц: 191
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB
Businesses own more data than ever before, but it’s of no value if you don’t know how to use it. Data governance manages the people, processes, and strategy needed for deploying data projects to production. But doing it well is far from easy: Less than one fourth of business leaders say their organizations are data driven. In Designing Data Governance from the Ground Up, you’ll build a cross-functional strategy to create roadmaps and stewardship for data-focused projects, embed data governance into your engineering practice, and put processes in place to monitor data after deployment. In the last decade, the amount of data people produced grew 3,000 percent. Most organizations lack the strategy to clean, collect, organize, and automate data for production-ready projects. Without effective data governance, most businesses will keep failing to gain value from the mountain of data that’s available to them. There’s a plethora of content intended to help DataOps and DevOps teams reach production, but 90 percent of projects trained with Big Data fail to reach production because they lack governance.