Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide,... Læs mere
To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this book, data scientists and... Læs mere
Dataproc Cookbook is your hands-on guide to mastering Dataproc and the essential GCP fundamentals-like networking, security,... Læs mere
With this practical book, development teams will quickly gain a foundational understanding of Argo CD for deploying and managing containerized applications-without having to be a Kubernetes expert, and without needing full access to an existing Kubernetes environment.
This hands-on guide shows you how to provide valuable data by focusing on various aspects of data... Læs mere
In this practical book, authors John Walsh and Uzi Ailon provide conceptual frameworks, technology overviews,... Læs mere
With this book, Kief Morris describes patterns and practices for building and evolving infrastructure as code. The third edition provides a... Læs mere
This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory... Læs mere
Whether you want to improve the performance of Cypher queries or learn how to model your graph to support various use cases, or comply with enterprise security or... Læs mere
This practical guide takes you through designing and deploying AI services using the FastAPI web framework. Learn how to integrate models that process text, images, audio, and video while seamlessly interacting with databases, filesystems, websites, and APIs.
There are more applications running in the cloud than there are ones that run well there.company's projects, this practical guide is an ideal way to understand... Læs mere