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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

Product type Paperback

Published in Nov 2021

Publisher Packt

ISBN-13 9781800562127

Length 336 pages

Edition 1st Edition

Tools

IBM Cloud

Concepts

Machine Learning

Authors (3):

Hemanth Manda

Sriram Srinivasan

Deepak Rangarao

View More author details

Table of Contents (17) Chapters

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

The case of a data and AI platform – recap

In the previous chapter, we introduced IBM's prescriptive approach to operationalizing data and AI in your enterprise, and subsequently, we introduced you to the broad capabilities of Cloud Pak for Data. In this section, we will outline how Cloud Pak for Data powers the implementation of the AI Ladder practice in your enterprise.

Cloud Pak for Data, as an open platform, breaks down silos between different products, enabling them to be manifested as cloud-native services on top of the same OpenShift Kubernetes platform. Cloud Pak for Data enables such services to easily integrate through a common control plane and, importantly, provides a personalized, integrated user experience for end users to collaborate naturally, without even being aware of product or service boundaries.

On this one platform, capabilities such as data virtualization help modernize data access for the hybrid cloud and data can be easily accessed in place...

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Authors (3)

Manda

Manda

Hemanth Manda heads product management at IBM and is responsible for the Cloud Pak for Data platform. He has broad experience in the technology and software industry spanning a number of strategy and execution roles over the past 20 years. In his current role, Hemanth leads a team of over 20 product managers responsible for simplifying and modernizing IBM's data and AI portfolio to support cloud-native architectures through the new platform offering that is Cloud Pak for Data. Among other things, he is responsible for rationalizing and streamlining the data and AI portfolio at IBM, a $6 billion-dollar business, and delivering new platform-wide capabilities through Cloud Pak for Data.

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Rangarao

Rangarao

Deepak Rangarao leads WW Technical Sales at IBM and is responsible for the Cloud Pak for Data platform. He has broad cross-industry experience in the data warehousing and analytics space, building analytic applications at large organizations and technical presales, both with start-ups and large enterprise software vendors. Deepak has co-authored several books on topics such as OLAP analytics, change data capture, data warehousing, and object storage and is a regular speaker at technical conferences. He is a certified technical specialist in Red Hat OpenShift, Apache Spark, Microsoft SQL Server, and web development technologies.

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Srinivasan

Srinivasan

M. L. Srinivasan is the founder and CEO of ChennaiNet, an India-based technology company focused on information technology and information security-related product development, services, and training. He's a Certified Information System Security Professional (CISSP) and Certified Information Security Management System Lead Auditor. Popularly known as MLS, the author is an information technology and information security professional and has about 25 years' experience in various IT domains, such as software programming, hardware troubleshooting, networking technologies, systems administration, security administration, information security-related consulting, auditing and training. He has been an avid trainer throughout his career and has developed many short-term and long-term training programs. He has been invited to speak at many international conferences and seminars on information security. Currently he is associated with NIIT Technologies (USA), and CA Technologies (USA) as a senior instructor covering various product-based training on CA identity manager, CA SiteMinder (Single Sign-On), CA ControlMinder (AccessControl), CA Federation Manager, and CA DataMinder products. He was a specialist IT and IS auditor with Det Norske Veritas (DNV), India region. He has performed many quality and information security audits for hundreds of medium and large organizations in the past.

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