Designing data governance from the ground up: six steps to build a data-driven culture
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 th...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Raleigh, North Carolina]
Pragmatic Bookshelf
2023
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| Ausgabe: | [First edition]. |
| Schriftenreihe: | The Pragmatic programmers
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9798888650189/?ar |
| Zusammenfassung: | 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. This book shares six steps you can take to build a data governance strategy from scratch. You'll find a data framework, pull together a team of data stewards, build a data governance team, define your roadmap, weave data governance into your development process, and monitor your data in production Whether you're a chief data officer or individual contributor, this book will show you how to manage up, get the buy-in you need to build data governance, find the right colleagues to co-create data governance, and keep them engaged for the long haul. |
| Umfang: | 1 Online-Ressource (108 Seiten) illustrations |
| ISBN: | 9798888650189 9798888650202 9789798888656 9798888650 |
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| spelling | Maffeo, Lauren VerfasserIn aut Designing data governance from the ground up six steps to build a data-driven culture by Lauren Maffeo ; edited by Brian P. Hogan [First edition]. [Raleigh, North Carolina] Pragmatic Bookshelf 2023 1 Online-Ressource (108 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The Pragmatic programmers 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. This book shares six steps you can take to build a data governance strategy from scratch. You'll find a data framework, pull together a team of data stewards, build a data governance team, define your roadmap, weave data governance into your development process, and monitor your data in production Whether you're a chief data officer or individual contributor, this book will show you how to manage up, get the buy-in you need to build data governance, find the right colleagues to co-create data governance, and keep them engaged for the long haul. Business Data processing Management Gestion ; Informatique ; Gestion Business ; Data processing ; Management Hogan, Brian P. HerausgeberIn edt 1680509802 Erscheint auch als Druck-Ausgabe 1680509802 |
| spellingShingle | Maffeo, Lauren Designing data governance from the ground up six steps to build a data-driven culture Business Data processing Management Gestion ; Informatique ; Gestion Business ; Data processing ; Management |
| title | Designing data governance from the ground up six steps to build a data-driven culture |
| title_auth | Designing data governance from the ground up six steps to build a data-driven culture |
| title_exact_search | Designing data governance from the ground up six steps to build a data-driven culture |
| title_full | Designing data governance from the ground up six steps to build a data-driven culture by Lauren Maffeo ; edited by Brian P. Hogan |
| title_fullStr | Designing data governance from the ground up six steps to build a data-driven culture by Lauren Maffeo ; edited by Brian P. Hogan |
| title_full_unstemmed | Designing data governance from the ground up six steps to build a data-driven culture by Lauren Maffeo ; edited by Brian P. Hogan |
| title_short | Designing data governance from the ground up |
| title_sort | designing data governance from the ground up six steps to build a data driven culture |
| title_sub | six steps to build a data-driven culture |
| topic | Business Data processing Management Gestion ; Informatique ; Gestion Business ; Data processing ; Management |
| topic_facet | Business Data processing Management Gestion ; Informatique ; Gestion Business ; Data processing ; Management |
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