This practical guide offers step-by-step guidance on how to implement data mesh in your organization. Authors Jean-Georges Perrin and Eric Broda focus on the key components of data mesh and provide practical advice supported by code.
Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered... Læs mere
In the first chapter you'll dive right in, building a fully functional game using C# and .NET MAUI that can run on Windows, Mac,... Læs mere
Author Yves Hilpisch, founder and CEO of The Python Quants, provides the background you need in concise fashion. ML practitioners,... Læs mere
Authors Kevin Schwarz, Jennifer Moran, and Dr. Nate Bachmeier from AWS teach you how to build cloud applications that... Læs mere
The new edition of this practical book covers updates to the tools, including deeper coverage of reverse engineering.
This book offers a comprehensive, practical, domain-driven approach to financial data engineering, featuring real-world use cases, industry practices, and hands-on projects.
Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading,... Læs mere
This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms.
The sheer volume of business data has reached an all-time high. By using visualizations to transform this data into useful and understandable information, you... Læs mere
Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data... Læs mere