Book Image

IBM Cloud Pak for Data

By : Hemanth Manda, Sriram Srinivasan, Deepak Rangarao
3 (1)
Book Image

IBM Cloud Pak for Data

3 (1)
By: Hemanth Manda, Sriram Srinivasan, Deepak Rangarao

Overview of this book

Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise.
Table of Contents (17 chapters)
Section 1: The Basics
Section 2: Product Capabilities
Section 3: Technical Details


Cloud Pak for Data is a platform for data and AI, built on top of a modern Kubernetes-based architecture. It leverages OpenShift Container Platform and Kubernetes to deliver a reliable, elastic, and cost-effective solution for data and AI use cases.

In this chapter, you were introduced to how Cloud Pak for Data is built, the different technology layers that form the stack that powers it, and the roles that the Cloud Pak foundational services and the control plane play. We also discussed the relevance of the operator pattern from the perspective of installation of the services and upgrades. Tenancy requirements and management of Cloud Pak for Data by individual tenant administrators, as well as approaches to resource management, were introduced. Day 2 operations were outlined as well.

In subsequent chapters, we will dive deeper into some of the key aspects introduced in this chapter, including storage, security, and multi-tenancy.