Many organizations don't have the budget for an information security (InfoSec) program. If you're forced to protect yourself by... Læs mere
Whether you're a young designer trying to design something new or a designer who works with lots of different products and stakeholders, UX for Business is your missing guide to real-world UX.
Three Modes of Making provides a framework for Maker courses in upper grades that teach students creative-process skills through three key Maker modes: Imitation, Modification, and Innovation.
In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL. Full of real-world techniques, the examples in the book contain working code.
Explore the theory and practice of designing and writing serverless applications using examples... Læs mere
In this book, technical strategist Sarah Wells provides practical, in-depth advice for moving to microservices.... Læs mere
When you have questions about C# 12 or .NET 8, this best-selling guide has the answers you need. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today.
By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this lakehouse. Authors Tomer Shiran, Jason Hughes, Alex Merced, and Dipankar Mazumdar from Dremio guide you through the process.
This thoroughly updated third edition not only introduces you to web scraping but also serves as a comprehensive guide to scraping almost every type of data from the modern web.
With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software... Læs mere
This practical book shows developers, architects, and IT managers how to build IoT solutions on Azure.... Læs mere
With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.