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)
1
Section 1: The Basics
4
Section 2: Product Capabilities
11
Section 3: Technical Details

Technical requirements

For a deeper understanding of the topics described in this chapter, you are expected to have some familiarity with the following technologies and concepts:

  • The Linux operating system and its security primitives
  • Cloud-native approaches to developing software services
  • Virtualization, containerization, and Docker technologies
  • Kubernetes (Red Hat OpenShift Container Platform is highly recommended)
  • Storage provisioning and filesystems
  • Security hardening of web applications, Linux hosts, and containers
  • The Kubernetes operator pattern (highly recommended)
  • The kubectl and oc command-line utilities, as well as the YAML and JSON formats needed to work with Kubernetes objects
  • An existing Cloud Pak for Data installation on an OpenShift Kubernetes cluster, with administration authority

The sections will also provide links to key external reference material, in context, to help you understand a specific concept in greater...