Driving Data Quality with Data Contracts
Packt Publishing Limited (Verlag)
978-1-83763-500-9 (ISBN)
Purchase of the print or Kindle book includes a free PDF eBook
Key Features
Understand data contracts and their power to resolving the problems in contemporary data platforms
Learn how to design and implement a cutting-edge data platform powered by data contracts
Access practical guidance from the pioneer of data contracts to get expert insights on effective utilization
Book DescriptionDespite the passage of time and the evolution of technology and architecture, the challenges we face in building data platforms persist. Our data often remains unreliable, lacks trust, and fails to deliver the promised value.
With Driving Data Quality with Data Contracts, you’ll discover the potential of data contracts to transform how you build your data platforms, finally overcoming these enduring problems. You’ll learn how establishing contracts as the interface allows you to explicitly assign responsibility and accountability of the data to those who know it best—the data generators—and give them the autonomy to generate and manage data as required. The book will show you how data contracts ensure that consumers get quality data with clearly defined expectations, enabling them to build on that data with confidence to deliver valuable analytics, performant ML models, and trusted data-driven products.
By the end of this book, you’ll have gained a comprehensive understanding of how data contracts can revolutionize your organization’s data culture and provide a competitive advantage by unlocking the real value within your data.What you will learn
Gain insights into the intricacies and shortcomings of today's data architectures
Understand exactly how data contracts can solve prevalent data challenges
Drive a fundamental transformation of your data culture by implementing data contracts
Discover what goes into a data contract and why it's important
Design a modern data architecture that leverages the power of data contracts
Explore sample implementations to get practical knowledge of using data contracts
Embrace best practices for the successful deployment of data contracts
Who this book is forIf you’re a data engineer, data leader, architect, or practitioner thinking about your data architecture and looking to design one that enables your organization to get the most value from your data, this book is for you. Additionally, staff engineers, product managers, and software engineering leaders and executives will also find valuable insights.
Andrew Jones is a Principal Engineer, author, and a Google Developer Expert. He has over 15 years' experience in the industry, with the first half primarily as a software engineer before moving into the data platform and data engineering space. He thinks a lot about how to build platforms - particularly data platforms - that drive the creation of business value. His work on building performant, efficient, and well governed data platforms that facilitate the production and consumption of quality data led him to coining and defining data contracts, and in 2023 he authored the seminal book on the topic, Driving Data Quality with Data Contracts. Andrew is a regular speaker and writer, and passionate about helping organizations get the most value from data.
Table of Contents
A Brief History of Data Platforms
Introducing Data Contracts
How to Get Adoption in Your Organization
Bringing Data Consumers and Generators Closer Together
Embedding Data Governance
What Makes Up a Data Contract
A Contract-Driven Data Architecture
A Sample Implementation
Implementing Data Contracts In Your Organization
Data Contracts in Practice
Erscheinungsdatum | 10.07.2023 |
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Vorwort | Kevin Hu |
Verlagsort | Birmingham |
Sprache | englisch |
Maße | 191 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
ISBN-10 | 1-83763-500-5 / 1837635005 |
ISBN-13 | 978-1-83763-500-9 / 9781837635009 |
Zustand | Neuware |
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