Designing Data Governance from the Ground Up • Lauren Maffeo & Samia Rahman
This interview was recorded for the GOTO Book Club.
Read the full transcription of the interview here
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Lauren Maffeo - Senior Service Designer at Steampunk & Author of “Designing Data Governance from the Ground Up“
Samia Rahman - Director of Enterprise Data Strategy and Governance at Seagen
RESOURCES
Lauren
Samia
DESCRIPTION
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. [...]
* Book description: © Pragmatic Programmers ()
The interview is based on the book “ Designing Data Governance from the Ground Up () “.
RECOMMENDED BOOKS
Lauren Maffeo • Designing Data Governance from the Ground Up
() Katharine Jarmul • Practical Data Privacy
() Katharine Jarmul & Jacqueline Kazil • Data Wrangling with Python
() Yehonathan Sharvit • Data-Oriented Programming
() Zhamak Dehghani • Data Mesh
() Eberhard Wolff & Hanna Prinz • Service Mesh
() Piethein Strengholt • Data Management at Scale
() Martin Kleppmann • Designing Data-Intensive Applications ()
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