We use this solution as a simple repository for all of the data that comes from multiple sources related to our organization. It has financial data, transactional data, customer complaint data, as well as customer feedback data. All of these are collected from different systems and they are consolidated for viewing within our management dashboards or for use in other analytics.
Aster Teradata is mostly being used for doing mapping and I use it for analytics. Usually, there is a support vendor who will use Teradata to do the database analytics. But sometimes with Teradata, the DB administrators use it to get access to the libraries or the data processes. I mostly recommend Teradata for data storage because it is easy to deploy and implement.
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 use this solution as a simple repository for all of the data that comes from multiple sources related to our organization. It has financial data, transactional data, customer complaint data, as well as customer feedback data. All of these are collected from different systems and they are consolidated for viewing within our management dashboards or for use in other analytics.
Aster Teradata is mostly being used for doing mapping and I use it for analytics. Usually, there is a support vendor who will use Teradata to do the database analytics. But sometimes with Teradata, the DB administrators use it to get access to the libraries or the data processes. I mostly recommend Teradata for data storage because it is easy to deploy and implement.