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- W2156546994 abstract "Many customers face the issue of working with SAS®9 advanced analytics tools using data that comes from many different operational systems. The challenge presented to the customer is to extract, transform, and load the data into the analytical data structures with efficiency and scalability. This paper presents a case study describing practices to address the entire lifecycle of data access, aggregation, analysis, and deployment. A foundation discussion of how to interact with the Teradata database using SAS will be reviewed, followed by design and integration techniques available in SAS® Data Integration Studio to deliver data structures appropriate for analytical purposes. Finally, a presentation of how to leverage the data using SAS Enterprise Miner will be presented, including a discussion of techniques for managing algorithms that require large memory storage or multiple passes of the data." @default.
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- W2156546994 date "2008-01-01" @default.
- W2156546994 modified "2023-09-27" @default.
- W2156546994 title "From Soup to Nuts: Practices in Data Management for Analytical Performance" @default.
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