O'Reilly Media
Resources
Foundations for Architecting Data Solutions
Authors Ted Malaska and Jonathan Seidman guide you through the major components necessary to start, architect, and develop successful big data projects.
Introducing MLOps: How to Scale Machine Learning in the Enterprise
This book specifically for analytics and IT operations team managers, that is, the people directly facing the task of scaling machine learning (ML) in production. Given that MLOps is a new field, we developed this book as a guide for creating a successful MLOps environment, from the organizational to the technical challenges involved.
O’Reilly: Kubernetes Operators: Automating the Container Orchestration Platform
Download our E-book! Learn how to Deploy an Operator on a Kubernetes cluster. Services: Hybrid Cloud, Cloud-Native Development, Automation, IT Optimization, Integration, Digital Transformation.
Streaming Change Data Capture: A Foundation for Modern Data Architectures
This book serves as a practical guide for enterprise architects, data managers and CIOs as they enable modern data lake, streaming and cloud architectures with CDC.
Managing Kubernetes Performance at Scale
With this practical ebook, Kubernetes administrators and systems architects will examine common challenges and operational tips for running Kubernetes clusters in production.
What Is MLOps?
With this report, business leaders will learn about MLOps, a process for generating long-term value while reducing the risk associated with data science, ML, and AI projects. Authors Lynn Heidmann and Mark Treveil from Dataiku start by introducing the data science-ML-AI project lifecycle to help you understand what--and who--drives these projects.