Book Image

Driving Data Quality with Data Contracts

By : Andrew Jones
Book Image

Driving Data Quality with Data Contracts

By: Andrew Jones

Overview of this book

Despite 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.
Table of Contents (16 chapters)
1
Part 1: Why Data Contracts?
4
Part 2: Driving Data Culture Change with Data Contracts
8
Part 3: Designing and Implementing a Data Architecture Based on Data Contracts

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Ansible

URL 121

Apache Avro

URL 84

Apache Flink

URL 173

Apache Hadoop 6

Apache Kafka® Performance

reference link 171

Artificial Intelligence (AI) 71

autonomy

promoting, through decentralization 104-106

promoting, with GoCardless 101-104

B

Benthos

reference link 173

big data platform 6-8

BigQuery schema

creating, from data contract 125

BigQuery table

Pulumi, using to create and manage 125-128

business-critical applications

increasing, usage of data 17, 19

C

change data capture (CDC) 10, 30, 51, 98, 147, 148

Confluent schema registry

used, for registering schema 132, 133

consumer-driven contracts 29

Continuous Integration (CI) 87, 108

contract-driven data architecture

principles 107

self-served data infrastructure...