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.
Download and Read Links
Share this Book
[localhost]# find . -name "*Similar_Books*"
Data Parallel C++
Learn how to accelerate C++ programs using data parallelism. This open book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables
Graph Databases For Beginners
So someone has heard about graph databases and wants to understand what all the buzz is about. Are they just a passing trend - here today and gone tomorrow - or are they a rising tide that businesses and development teams can't afford to ignore? Whether they're a business executive or a seasoned developer, something - perhaps a pressing business ch
The Computers That Made Britain
The home computer boom of the 1980s brought with it now iconic machines such as the ZX Spectrum, BBC Micro, and Commodore 64. Those machines would inspire a generation. Written by Tim Danton. The Computers That Made Britain (300 pages, hardback) tells the story of 19 of those computers - and what happened behind the scenes. With dozens of new inter
Elements of Data Science
Elements of Data Science is an introduction to the practical skills of working with data, written for people with no programming experience. Concepts are explained clearly and concisely, and exercises in each chapter demonstrate the real-world use of each feature. - Step-by-Step Approach: Learn how to execute a data science project from start to fi
Critical Data Literacy
A short course for students to increase their proficiency in analyzing and interpreting data visualizations. By completing this short course students will be able to explain the importance of data literacy, identify data visualization issues in order to improve their own skills in data story-telling. The intended outcome of this course is to help s
A Practical Introduction to Python Programming
This book originated as approximately 30 pages of notes intended for students in the author's introductory programming class at Mount St. Mary's University. Recognizing that most of these students had no prior programming experience, the author tailored his approach accordingly. He consciously omits many technical details and occasionally oversimpl