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IBM Cloud Pak for Data (V2.5.x): Foundations - eLearning
Course Description
Overview
This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Multiple use cases will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform. This learning is relevant for Cloud Pak for Data and Cloud Pak for Data System.
Objectives
• Introduction to IBM Cloud Pak for Data • Red Hat OpenShift Container Platform: overview • Collaboration and workflows • Collect data • Organize data • Prepare data • Analyze data • Services and integrations • Administer the platform • Assessment
Audience
Data Engineer, Data Steward, Data Scientist, Business Analyst, Application Developer, Administrator
Prerequisites
IBM Demo assets: IBM Cloud Pak for Data (https://www.ibm.com/demos/collection/IBM-Cloud-Pak-for-Data/)
Topics
Introduction to IBM Cloud Pak for DataÂ
• Describe IBM Cloud Pak for DataÂ
• Identify how IBM Cloud Pak for Data makes you ready for artificial intelligence (AI)Â
• Describe, at a high level, the IBM Cloud Pak for Data architectureÂ
• Describe how to collaborate within IBM Cloud Pak for DataÂ
• Describe the typical end-to-end data and analytics workflow in IBM Cloud Pak for DataÂ
• Identify what you will be doing in this training Red Hat OpenShift Container Platform: overviewÂ
• Describe how the Red Hat OpenShift Container Platform relates to IBM Cloud Pak for DataÂ
• Describe the role of containers, Kubernetes, and HelmÂ
• Describe how Red Hat OpenShift is a layered systemÂ
• Describe, at a high level, the Red Hat OpenShift architectureÂ
• Describe, at a high level, how Red Hat OpenShift is secured Collaboration and workflowsÂ
• Identify the default roles in IBM Cloud Pak for DataÂ
• Describe how permissions work in IBM Cloud Pak for DataÂ
• Describe a typical workflowÂ
• Create a projectÂ
• Search for dataÂ
• Request data Collect dataÂ
• Identify how you connect to data sources in IBM Cloud Pak for DataÂ
• Identify ways in which you can add data to a projectÂ
• Identify supported data sourcesÂ
• Describe how to work with an integrated databaseÂ
• Create a connection to a data source Organize dataÂ
• Describe the Watson Knowledge Catalog service and what you can do with itÂ
• Describe how you can work with catalogsÂ
• Describe how you can govern and curate data using Watson Knowledge CatalogÂ
• Identify how governance artifacts and governance tools work togetherÂ
• Identify how you can govern data to comply with regulationsÂ
• Perform automated discovery and work with the default catalog Prepare dataÂ
• Identify ways in which you can prepare data for use in projectsÂ
• Describe how to transform data using the DataStage serviceÂ
• Refine data using the Data Refinery serviceÂ
• Virtualize data using the Data Virtualization service Analyze dataÂ
• Identify how you can analyze data in IBM Cloud Pak for DataÂ
• Analyze data using notebooksÂ
• Identify other tools that you can use to analyze dataÂ
• Automatically analyze your data using the AutoAI toolÂ
• Deploy machine learning (ML) models Services and integrationsÂ
• Identify how you can extend the functionality of IBM Cloud Pak for DataÂ
• Identify the services that are available in the catalogÂ
• Identify the services that are available outside of the catalogÂ
• Describe how you can address common business issues by using industry acceleratorsÂ
• Describe how you can integrate IBM Cloud Pak for Data with other applications Administer the platformÂ
• Identify how you can administer the cluster for IBM Cloud Pak for DataÂ
• Identify how you can administer the web client for IBM Cloud Pak for Data AssessmentÂ
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
IBM Web Based Training courses are sold on a per-user basis. WBT courses provide a training advantage for you and your teams, helping you get up to speed quickly. Take the courses you need, at your convenience and at your own pace.
You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
System Requirements
To participate in this course, the student workstation must meet the following hardware requirements:- Minimum of 256 MB of memory
- Windows Vista or Windows 7-10 (32-bit or 64-bit edition)
- Internet Explorer 6 or higher or Firefox ESR
- 128-bit encryption
- Citrix Receiver for connection to the IBM Remote Lab Platform
- Java
- Access to Internet with at least 128 kbps down and 128 kbps up
- Other platforms/combinations may work but are not officially supported by IBM.
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