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

Chapter 3: Collect – Making Data Simple and Accessible

Enterprises are struggling with the proliferation of data in terms of both volume and variety. Data modernization addresses this key challenge and involves establishing a strong foundation of data by making it simple and accessible, regardless of where that data resides. Since data that's used in AI is often very dynamic and fluid with ever-expanding sources, virtualizing how data is collected is critical for clients. Cloud Pak for Data offers a flexible approach to address these modern challenges with a mix of proprietary, open source, and third-party services.

In this chapter, we will look at the importance of data and the challenges that occur with data-centric delivery. We will also look at what data virtualization is and how it can be used to simplify data access. Toward the end of this chapter, we will be looking at how Cloud Pak for Data enables data estate modernization.

In this chapter, we're going...