Data Engineer at a pharma/biotech company with 5,001-10,000 employees
Real User
2018-12-11T08:31:00Z
Dec 11, 2018
We have been using the on-premise PostgreSQL, and most of our data comes from SAP. We have all our Oracle logs being pushed to Teradata, which is where we take the data, then skim it. We pass it through whatever it is we are using, then turn it back to the customers. Therefore, our primary use case is to distribute the data across all types of commercial and personal consumers, making it available as fast as possible.
Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise...
We have been using the on-premise PostgreSQL, and most of our data comes from SAP. We have all our Oracle logs being pushed to Teradata, which is where we take the data, then skim it. We pass it through whatever it is we are using, then turn it back to the customers. Therefore, our primary use case is to distribute the data across all types of commercial and personal consumers, making it available as fast as possible.
We have all our workloads on AWS.