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This video provides an overview of the steps that need to be taken in order to prepare for governance while performing the lab exercises in the 6XS747G Foundations of Data Governance with IBM…
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This video outlines the steps that need to be taken by the learner to prepare a collaborative workspace in the lab portion of the course.
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This video describes the steps of a sample data governance process, including the personas that need to be involved at each stage.
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This video introduces the business scenario that students in the Foundations of data governance with IBM Knowledge Catalog on IBM Cloud Pak for Data course explore.
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Get a single, unified view of all your disparate data sources, without data movement, using data virtualization on IBM Cloud Pak for Data. Learn more at:…
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Keep client trust with data privacy capabilities on IBM Cloud Pak for Data, including de-identification, data masking, and policy enforcement. Learn more at:…
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Keep client trust with data privacy capabilities on IBM Cloud Pak for Data, including de-identification, data masking, and policy enforcement. Learn more at:…
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This videos shows you how to open a project to add a masking flow asset to that project.
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This video provides an overview of data policies in Watson Knowledge Catalog.
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This video shows you how to add a data asset to an existing project and then load that data for analytics in a Python notebook.
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This video shows you how to add assets to a catalog.
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This video explains some of the foundational concepts of IBM Watson Knowledge Catalog, part of the Cloud Pak for Data as a Service integrated platform, such as what's a project, what type of…
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RStudio is a tool available inside a Watson Studio project. This video provides an overview of the IDE.
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This video shows you how to quick start load a local data file and shape the data.
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In this video, you'll see how to create and share a business analytics dashboard in a Watson Studio project. This examples uses a CSV file containing information about bakery sales.
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This video showcases a sample notebook that analyzes annual precipitation data from the UNdata portal in a Jupyter notebook in a Watson Studio project.
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