Data Mesh For Dummies
Elevate the value of data as a product
Book Details
| Authors | Colleen Tartow, Andrew Mott, Adrian Estala |
| Publisher | John Wiley & Sons |
| Published | 2022 |
| Edition | 1st (Starburst Special Edition) |
| Paperback | 21 pages |
| Language | English |
| ISBN-13 | 9781119910886, 9781119910893 |
| ISBN-10 | 1119910889, 1119910897 |
| License | Compliments of Starburst |
Book Description
Data Mesh is a relatively new approach to data management. It combines several important trends in data management, including domain-driven design and data as a product, to decentralize the ownership of ingestion, processing, and serving of data. Zhamak Dehghani defined the term in 2019 as "a decentralized sociotechnical approach to share, access, and manage analytical data in complex and large-scale environments - within or across organizations." Data Mesh aims to overcome the limitations of traditional centralized data management approaches that use data warehousing and data lakes.
In a traditional data management approach, three functions are essential for providing data for end-users: data ingestion, data transformation, and data serving. Traditionally a separate centralized team is responsible for each of these functions, meaning that if you want to scale the overall process, you must scale the entire centralized team. In a Data Mesh, a single team (domain) is responsible for all three functions. Each domain focuses solely on data from a specific business area. You can scale domains as needed to address new analytic requirements or to onboard new data.
This book is published as open-access, which means it is freely available to read, download, and share without restrictions.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.
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