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

Profiling to get a better understanding of your data

With enterprises going through digital transformation, there has been a proliferation of data and multiple systems that often result in redundant datasets with varying levels of data quality. With large volumes of data, it is imperative that we get a good understanding of the characteristics of the datasets, what attributes/columns of data are available, the data types of the individual columns, their unique values, and how the data values are distributed. This profile information helps us isolate datasets of interest from the large collection of possibly overlapping datasets.

With Cloud Pak for Data, we have a centralized governance catalog that acts as the index of all our data assets and helps us organize resources for many data science projects: data assets, analytical assets, and the users who need to use these assets. This catalog also has built-in profiling capabilities that allow the consumers to select a given dataset...