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

Chapter 6: Multi-Cloud Strategy and Cloud Satellite

Hybrid multi-cloud support is the foundational pillar of Cloud Pak for Data, and the feature of deploying and running anywhere (private cloud or any public cloud) has been one of Cloud Pak for Data's key differentiators. In this chapter, we will learn more about the supported public and private clouds, the evolution of Cloud Pak for Data as a Service, and IBM's strategy to support managed services on third-party clouds. We will explore both the business and technical concepts behind IBM's multi-cloud support, including a brief overview of IBM Cloud Satellite. This will allow the customer to define an effective multi-cloud strategy by leveraging IBM technology.

We're going to cover the following main topics:

  • IBM's multi-cloud strategy
  • Supported deployment options
  • Cloud Pak for Data as a Service
  • IBM Cloud Satellite
  • A data fabric for a multi-cloud future