Data Architecture, Data Mesh & Enterprise Engineering Bundle

This book offers practical guidance on managing data as a product, drawing from real-world experience to empower you to implement your own data product-centric approach.

Principles of Data Fabric presents an overview of what Data Fabric solutions are, the business value they offer, and how they address various data challenges to manage dispersed data and technologies. This book teaches you about distributed data architecture components and highlights key considerations needed to build or buy a Data Fabric solution.

This book is a comprehensive introduction to modern data architecture for analytics, focusing on implementing the Data Lakehouse architecture for large-scale analytics in a scalable, agile, and cost-effective manner. With the help of practical explanations, you'll be able to apply the frameworks introduced in this book within your organization.

The Definitive Guide to Data Integration is for data eclectics looking to explore the modern data stack. Complete with practical examples and insights, it covering tools, techniques, and best practices to unleash your data's potential.

Elevate your data quality monitoring and successfully implement data observability practices in your teams in a scalable way with this practical guide to addressing data issues, fostering improved collaborating post-adoption of these techniques.

This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You'll also find useful insights into how to implement data governance initiatives.

This comprehensive guide explores the benefits of using data contracts to improve data quality in modern data platforms. With a focus on accountability and governance, this book provides practical tips and best practices for implementing data contracts in your organization and building a true data-driven culture.

Boost your analytics engineering journey with this comprehensive guide, written by 7 industry experts. This book is an indispensable resource that arms you with all the knowledge, skills, and insights you need to excel in this rapidly evolving field.

With step-by-step instructions and examples, this book will teach you the skills needed to build and deploy complex data pipelines on Kubernetes, resulting in efficient and scalable big data solutions.

Apache Arrow is a language-neutral, in-memory data format for fast data processing. It allows zero-copy reads for efficient data exchange and works well with CPUs and GPUs. This book will teach you how to use Arrow to improve your data systems.

Master OpenSearch with this expert-led guide, covering installation, data ingestion, queries, dashboards, and performance optimization through hands-on tutorials and real-world examples.