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

Unified Data Fabric

The customer challenge for this use case was that a leading cancer treatment and research institution wanted to modernize its approach to data with a digital transformation. Despite their exceptional track record regarding patient care, innovative research, and outstanding educational programs, many data sources were still hard to find and consume. There was also a need to archive less frequently used data with appropriate governance controls. They wanted to create an easy-to-use single authoritative platform for their clinical, research, and operational data that would provide self-service data access in a trusted and governed manner.

Unified Data Fabric with CP4D allowed them to define centralized governance policies and rules, as well as automated enforcement of data privacy, to ensure only authorized consumers had access to data. The following diagram illustrates the services used to define Unified Data Fabric:

Figure 8.5 – Data...