Data Warehouses are known for storing data over time, both historical point-in-time transactions as well as temporal data that is valid over a range of time...
Storing this data is one thing, but retrieving it to answer critical business questions can be a Structured Query Language (SQL) challenge. For example, an insurance company may want to determine exactly how many active policies a customer has had over periods of time, and whether there were periods in which the customer had no active policies. These types of temporal problems can be tricky to solve, but this session focuses on Teradata 14.10 SQL features which both simplify the SQL coding and perform well. Key features to be used include 1) the NORMALIZE clause and 2) sequenced aggregation. The business problems in this session span industries, so you are bound to see problems that apply to your organization and how to solve them.
Presenter: Darrin Gaines, Senior Consultant – Teradata Corporation