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6X136G - IBM Cloud Pak for Data - Foundations v3.5.x

Overview

Duration: 1 day
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. A generic use case 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 WBT contains instructional and interactive content, demonstrations and hands-on exercises (on Cloud Pak for Data on IBM Cloud).

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
  • Infuse data
  • Assessment

Audience

  • Data Engineer
  • Data Steward
  • Data Scientist
  • Business Analyst
  • Application Developer
  • Administrator

Content

Introduction to IBM Cloud Pak for Data
  • Describe IBM Cloud Pak for Data
  • Identify how IBM Cloud Pak for Data makes you ready for artificial intelligence (AI)
  • Describe, at a high level, the IBM Cloud Pak for Data architecture
  • Describe how to collaborate within IBM Cloud Pak for Data
  • Describe the typical end-to-end data and analytics workflow in IBM Cloud Pak for Data
  • Identify what you will be doing in this training
Red Hat OpenShift Container Platform: overview
  • Describe how the Red Hat OpenShift Container Platform relates to IBM Cloud Pak for Data
  • Describe the role of containers, Kubernetes, and Helm
  • Describe how Red Hat OpenShift is a layered system
  • Describe, at a high level, the Red Hat OpenShift architecture
  • Describe, at a high level, how Red Hat OpenShift is secured
Collaboration and workflows
  • Administer the platform
  • Describe a typical workflow
  • Create an analytics project
  • Search for data
  • Request data
  • Collect data
    • Identify how you connect to data sources in IBM Cloud Pak for Data
    • Identify ways in which you can add data to a project
    • Identify supported data sources
    • Describe how to work with an integrated database
    • Create a connection to a data source
    Organize data
    • Describe the Watson Knowledge Catalog service and what you can do with it
    • Describe how you can work with catalogs
    • Describe how you can govern and curate data using Watson Knowledge Catalog
    • Identify how governance artifacts and governance tools work together
    • Identify how you can govern data to comply with regulations
    • Perform automated discovery and work with the default catalog
    Prepare data
  • Identify ways in which you can prepare data for use in projects
  • Describe how to virtualize data using the Data Virtualization service
  • Describe how you can refine data using the Data Refinery service
  • Identify how you can access trusted master data with IBM Master Data Connect
  • Describe how you can build trust in unstructured data with IBM Watson Knowledge Catalog Instascan
  • Identify how you can manage test data using Virtual Data Pipeline (VDP)
  • Analyze data
    • Identify how you can analyze data in IBM Cloud Pak for Data
    • Automate building machine learning models with AutoAI experiment
    • Deploy machine learning models
    • Analyze data using notebooks
    • Identify other tools that you can use to analyze data
    Infuse data
    • Identify how you can perform self-service analytics with Cognos Analytics
    • Describe how you can extract answers from complex business documents with Watson Discovery
    • Identify how you can deliver engaging, unified problem-solving experiences with Watson Assistant
    • Describe you can accurately transcribe the human voice with Watson Speech to Text
    • Identify how you can convert written text to natural-sounding speech with Watson Text to Speech
    • Describe how you can automate planning, budgeting, and forecasting with Planning Analytics
    Assessment

    Prerequisites

    IBM Demo assets: IBM Cloud Pak for Data, in particular Overview Cloud Pak for Data (https://www.ibm.com/demos/collection/Cloud-Pak-for-Data/)

    Certification

    Schedule




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