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

IBM's multi-cloud strategy

IBM is one of the few technology vendors to have embraced a hybrid multi-cloud strategy from day one, and this is evident from the deployment options that are supported by IBM. Being able to deploy anywhere is a key differentiator for Cloud Pak for Data. While software and system deployment options enjoy customer adoption the most, Cloud Pak for Data as a Service is IBM's strategic direction in the long run. The as-a-Service managed edition of Cloud Pak for Data was launched in 2020 on IBM Cloud and is now supported on third-party clouds through Cloud Satellite, which we will cover in detail later in the chapter.

The value proposition of as-a-Service is that it allows customers to modernize how they collect, organize, analyze, and infuse AI with no installation, management, or updating required. In essence, you can derive all the benefits of an integrated data and AI platform, namely Cloud Pak for Data, without the overhead of managing the infrastructure...