See the following table for a list of sample use cases you can run to explore Vantage capabilities in Vantage Trial. The use cases use preloaded sample datasets in Teradata Vantage and a Teradata-managed Amazon S3 bucket. Each use case contains instructions.
These use cases change between releases. From home page, select Editor or JupyterHub to access the most current use cases. All JupyterHub use cases are located in the UseCases/ directory except where noted.
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Category | Use Case | Description | Users | Editor | JupyterHub |
Data Lake Analytics | Manufacturing Defect Analysis | Solve a warranty issue using integrated data combined with JSON from a data lake |
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Deep History | Using offloaded cold historical sales data in a data lake using Parquet and NOS | Business Analysts | ● | ● | |
External Object Store | Introduction to accessing external object storage using NOS For Editor, this use case is located under
For JupyterHub, this use case is located under SampleNotebooks/sql
You will need to edit the SQL in Editor and the Jupyter notebook to add your credentials to access your external object store |
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Indoor Sensor | Explore CSV sensor data using Python and Vantage Time Series | Data Scientists | ● | ● | |
General | Path Analysis | Analyze customer behavior using nPath, which is a SQL function that performs fast analysis on ordered data |
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Vantage Path | Use path analysis for behavior analysis with no coding |
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Time Series - Consumer Complaints | Analyze customer complaints over time to see trends by querying and visualizing data, and then extracting insights from that data |
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Financial Services Customer Journey | Attribution and path analytics for a financial services organization |
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Knee Replacement | Analysis of knee replacement surgery |
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