Cluster Books
Introduction to Data Science
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data vi
Azure Machine Learning
This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and princ
Devops with OpenShift
For many organizations, a big part of DevOps' appeal is software automation using infrastructure-as-code techniques. This book presents developers, architects, and infra-ops engineers with a more practical option. You'll learn how a container-centric approach from OpenShift, Red Hat's cloud-based PaaS, can help your team deliver quality software th
R Notes for Professionals
The R Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.
Microservices for Java Developers, 2nd Edition
Is microservice architecture right for your organization? Microservices have many benefits, but they also come with their own set of drawbacks. With this updated edition, Java developers and architects will learn how to navigate popular application frameworks such Spring Boot and MicroProfile to deploy and manage microservices at scale with Linux c
Deploying to OpenShift
Get an in-depth tour of OpenShift, the container-based software deployment and management platform from Red Hat that provides a secure multi-tenant environment for the enterprise. This practical guide describes in detail how OpenShift, building on Kubernetes, enables you to automate the way you create, ship, and run applications in a containerized
Introduction to PostgreSQL for the data professional
While the documentation around PostgreSQL is detailed and technically rich, finding a simple, clear path to learning what it is, what it does, and how to use it can be challenging. This book seeks to help with that challenge. From getting your first instance, or cluster, up and running, to backups, to server configurations, we cover all the basics