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 10: Security and Compliance

Cloud Pak for Data is an offering for enterprises that have stringent requirements. Cloud Pak for Data as a multi-user platform is also expected to provide governance in the implementation of separation of duties, auditing, and other compliance requirements.

The Cloud Pak for Data security white paper [1] describes many security aspects, starting with the development of software to deployment and operations.

For a containerized platform offering such as Cloud Pak for Data, where multiple services operate in a co-located manner and different user personas are expected to access the system, there are strict guidelines on how these services are developed and delivered, as well as how these services are to be managed and monitored in enterprise data centers. Chapter 9, Technical Overview, Management and Administration introduced the core concepts of the architecture stack, including how clusters can even be shared and operated securely for different...