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Section 1: Data Modeling
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You should be able to describe the types of classes used when modeling data. You should also be able to describe the components that make up a schema.Lecture1.1
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You should be able to explain when to use out-of-the-box components and when to use custom components. You should be able to explain how a schema is used to build a union schema and a unified profile. You should also be able to explain how identities are used in an ID GraphLecture1.2
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Section 2: Data Loading
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You should be able to list and describe ingestion types, and also describe the basic functionality associated with connectorsLecture2.1
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You should be able to identify errors associated with data loading (monitoring), explain how to validate data that has been loaded, and explain dataset configurationLecture2.2
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Section 3: Data Analysis
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You should be able to demonstrate the ability to write and execute queriesLecture3.1
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You should be able to describe the Customer Journey Analytics application serviceLecture3.2
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You should be able to explain how Data Science Workspace (DSW) uses and writes to datasets and a unified profileLecture3.3
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Section 4: Data Activation
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