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IBM Cloud Pak for Data

You're reading from   IBM Cloud Pak for Data An enterprise platform to operationalize data, analytics, and AI

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781800562127
Length 336 pages
Edition 1st Edition
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Authors (3):
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Hemanth Manda Hemanth Manda
Author Profile Icon Hemanth Manda
Hemanth Manda
Sriram Srinivasan Sriram Srinivasan
Author Profile Icon Sriram Srinivasan
Sriram Srinivasan
Deepak Rangarao Deepak Rangarao
Author Profile Icon Deepak Rangarao
Deepak Rangarao
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: The Basics
2. Chapter 1: The AI Ladder – IBM's Prescriptive Approach FREE CHAPTER 3. Chapter 2: Cloud Pak for Data: A Brief Introduction 4. Section 2: Product Capabilities
5. Chapter 3: Collect – Making Data Simple and Accessible 6. Chapter 4: Organize – Creating a Trusted Analytics Foundation 7. Chapter 5: Analyzing: Building, Deploying, and Scaling Models with Trust and Transparency 8. Chapter 6: Multi-Cloud Strategy and Cloud Satellite 9. Chapter 7: IBM and Partner Extension Services 10. Chapter 8: Customer Use Cases 11. Section 3: Technical Details
12. Chapter 9: Technical Overview, Management, and Administration 13. Chapter 10: Security and Compliance 14. Chapter 11: Storage 15. Chapter 12: Multi-Tenancy 16. Other Books You May Enjoy

User access and authorizations

Cloud Pak for Data is a platform into itself, is a multi-user system, and thus also provides access control for users. It also integrates with Enterprise LDAP or Active Directory and other identity providers to ensure secure access to its services. Auditing is also supported for tracking access to the Cloud Pak for Data platform as well.

As with any multi-user system, Cloud Pak for Data identifies roles and permissions that are granted to specific users or groups of users. A suitably privileged user is tasked with the responsibility of ensuring that only authorized users can access the services and content hosted by Cloud Pak for Data.

Authentication

While Cloud Pak for Data includes a simple out-of-the-box mechanism to identify users and grant them access, this is only for initial runs and is not meant for secure production use, and will fail to meet any compliance regulation requirements. For example, password policies or multi-factor authentication...

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