1. Dataproc Cookbook: Running Spark and Hadoop Workloads in Google Cloud
Authors: Narasimha Sadineni, Anuyogam Venkataraman
If you’re keen on mastering data processing and analytics in the cloud, “Dataproc Cookbook” is the ultimate guide you’ll need. This book provides a practical approach to setting up and managing Apache Spark and Hadoop clusters on Google Cloud. Each recipe is designed to enhance your understanding of implementing complex data workflows efficiently, unearthing invaluable insights for your organization. With its clear instructions and expert tips, this cookbook allows you to harness the full potential of Google Cloud’s powerful tools. It is aimed at data engineers and cloud enthusiasts who aspire to elevate their skill set. Don’t miss the chance to become a master of data processing!
2. Dataproc A Complete Guide – 2023 Edition
Author: Gerardus Blokdyk
The “Dataproc A Complete Guide – 2023 Edition” is an invaluable resource for IT professionals focused on tightening the integration between data and cloud technologies. It covers vital components including best practices, strategies, and key performance indicators that help navigate complex project requirements. Intended for users at all levels, this guide breaks down sophisticated concepts into digestible insights that enhance your capabilities in utilizing Dataproc. Whether you’re a beginner seeking direction or an experienced user hoping to refine your skills, this book will serve as an excellent roadmap for successful cloud implementation.
3. Google Cloud Dataproc The Ultimate Step-By-Step Guide
Author: Gerardus Blokdyk
“Google Cloud Dataproc The Ultimate Step-By-Step Guide” is a must-read for those looking to dive deep into the intricacies of Google Cloud. This comprehensive book simplifies complex processes and translates them into actionable steps that readers can take to utilize Dataproc effectively. It emphasizes real-world applications while providing best practice scenarios and insightful illustrations. By working through this guide, readers will gain a profound understanding of managing big data workflows, ensuring they’re equipped to tackle any data project like a pro.
4. Data Analytics with Google Cloud Platform: Build Real Time Data Analytics on Google Cloud Platform
Author: Murari Ramuka
For those wanting to build real-time analytics on GCP, “Data Analytics with Google Cloud Platform” serves as a valuable introduction to the necessary tools and techniques. The author, Murari Ramuka, expertly guides readers through the entire analytics lifecycle, showcasing how to extract insights quickly and efficiently. The book focuses on practical application, enabling you to create real-time dashboards and analytics solutions with ease. It’s a perfect starting point for budding analysts who want to leverage Google Cloud to transform their data analysis skills.
5. Up and Running Google AutoML and AI Platform
Authors: Navin Sabharwal, Amit Agrawal
If you’re eager to dive into the world of machine learning, “Up and Running Google AutoML and AI Platform” is the ideal guide. This book presents a thorough breakdown of AutoML and its integration with the Google AI Platform. The authors lay out clear pathways to building machine learning and NLP models in a production environment. This book is well-suited for data scientists and software engineers alike, as it emphasizes hands-on projects and best practices, providing readers with a clear understanding of machine learning deployment using Google Cloud.
