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 integration at scale

Based on IDC reports, it is estimated that data scientists spend 80% of their time preparing and managing data for building AI models. This, coupled with an IBM survey where 91% of organizations are not using their data effectively, means that businesses are struggling to deliver value from data silos. Data integration is a combination of technical and business processes that are used to combine data from disparate sources into meaningful and valuable information. This is a critical aspect of an organization's overall information architecture strategy:

Figure 4.21 – Data integration, an enterprise challenge

IBM's DataStage service on IBM Cloud Pak for Data delivers a modernized data integration solution for cleansing and delivering trusted data anywhere, at any scale and complexity, on and across multi-cloud and hybrid cloud environments. There are many reasons for this major shift in how data integration tools are...