IBM Cloud Pak for Data

Get an overview of an inventory and procurement strategy, and learn how a development team can use machine learning tools and techniques to predict demand and control costs.

Learn how the Arrow Flight service provided by IBM Cloud Pak for Data can be used to read and write data sets from within a Spark Java application that is deployed in IBM Analytics Engine. Arrow Flight provides a common interface for Spark applications to interact with a variety of different data sources.

Implement a strong data governance framework for AI models

In this tutorial you will learn how to deploy IBM Cloud Pak for Data 4.0, a cloud-native, integrated and highly innovative data and AI platform invented to achieve modern innovations faster, onto the Red Hat OpenShift Container Platform running on IBM Power Systems Virtual Servers.

Get an explanation of the key features, best practices, and benefits of ingesting data from IBM Db2 on Cloud into watsonx.data with DataStage on IBM Cloud Pak for Data.

Integrate on-premises watsonx.data with the IBM Knowledge Catalog.

Deploy Red Hat OpenShift Container Platform 4.x on IBM Power Virtual Servers

This learning path is designed for anyone interested in quickly getting up to speed with using IBM Cloud Pak for Data.

Learn about IBM Cloud Pak for Data, a unified, pre-integrated data and AI platform that runs natively on the Red Hat OpenShift Container platform.

Learn how to automate the data pipeline and make on-premises data available in cloud, by storing data in IBM Cloud Object Storage, processing data with IBM Cloud Code Engine jobs, and sending data to IBM Event Streams topic if needed.