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


Data is the world's most valuable resource and to be successful, enterprises need to become data-centric and leverage their data as a key differentiator. However, increasing data volumes, evolving data stores, and distributed datasets are making it difficult for enterprises and business users to easily find and access the data they need. Today's enterprise data architecture is fairly complex, with a plethora of data stores optimized for specific workloads. Data virtualization offers the silver bullet to address this unique challenge, and IBM's Cloud Pak Data is one of the key vendors in the market today. It is differentiated for its ability to scale and its integrated approach, which addresses data management, data organization, and data analysis requirements.

Finally, IBM's Cloud Pak for Data complements its data virtualization service with several containerized data stores that allow customers to persist data on the platform, while also allowing them...