Teradata Cloud Data Warehouse offers a more cost-effective cloud solution. However, the main challenge we encounter, especially in South Africa, is the limited bandwidth available for connecting to our cloud network. This is where the cost factor becomes significant, making it impractical to fully utilize the cloud due to the bandwidth constraints required for communication with the cloud. This limitation poses a major problem. While we can access certain features of cloud solutions from Teradata for free to evaluate them, it is not feasible for serving a large user base like two to three million people accessing the database. To accommodate such a user load, we would need a massive and robust pipeline connecting to the cloud.
Director of Product Management at a computer software company with 11-50 employees
Real User
Oct 8, 2021
We primarily use the solution for data warehousing. Primarily what happens is, in Juniper, they have internal business analytics and intelligence, a business intelligence analytics dashboard, and a lot of databases that capture the customer feedback. It actually captures all the internal defects that are tracked on products. There are different databases that accumulate all this data. Basically, you need to be able to source the data and do some filtering. We extract, transform, and load logic. We have to run certain business rules based on what the program or management team looks at. The teams want to filter out some of these problems that they have, and they want to analyze how well the company is responding to many of these customer issues, et cetera. Our company is a large company with each particular team using its own database and its own database tables. It becomes extremely hard for the company to take the data from different data sources and be able to correlate everything and be able to analyze many of the processes that are happening within. There is a workflow discontinuity that has been observed due to the fact that the data is distributed. In order to understand exactly how a request comes in from the customer and what goes on behind the scenes in order to resolve the problem or to be able to provide the support to the customer, and how long does it take before the problem gets fixed and delivered, et cetera, we need to centralize everything and we use data warehousing for that. There are other similar kinds of business rules filtering that happen on the dashboard as well. This enables people to be able to view the data that is needed and the metrics that are of interest to them and is especially useful when it comes to the executive team.
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...
Teradata Cloud Data Warehouse offers a more cost-effective cloud solution. However, the main challenge we encounter, especially in South Africa, is the limited bandwidth available for connecting to our cloud network. This is where the cost factor becomes significant, making it impractical to fully utilize the cloud due to the bandwidth constraints required for communication with the cloud. This limitation poses a major problem. While we can access certain features of cloud solutions from Teradata for free to evaluate them, it is not feasible for serving a large user base like two to three million people accessing the database. To accommodate such a user load, we would need a massive and robust pipeline connecting to the cloud.
We primarily use the solution for data warehousing. Primarily what happens is, in Juniper, they have internal business analytics and intelligence, a business intelligence analytics dashboard, and a lot of databases that capture the customer feedback. It actually captures all the internal defects that are tracked on products. There are different databases that accumulate all this data. Basically, you need to be able to source the data and do some filtering. We extract, transform, and load logic. We have to run certain business rules based on what the program or management team looks at. The teams want to filter out some of these problems that they have, and they want to analyze how well the company is responding to many of these customer issues, et cetera. Our company is a large company with each particular team using its own database and its own database tables. It becomes extremely hard for the company to take the data from different data sources and be able to correlate everything and be able to analyze many of the processes that are happening within. There is a workflow discontinuity that has been observed due to the fact that the data is distributed. In order to understand exactly how a request comes in from the customer and what goes on behind the scenes in order to resolve the problem or to be able to provide the support to the customer, and how long does it take before the problem gets fixed and delivered, et cetera, we need to centralize everything and we use data warehousing for that. There are other similar kinds of business rules filtering that happen on the dashboard as well. This enables people to be able to view the data that is needed and the metrics that are of interest to them and is especially useful when it comes to the executive team.
Our primary use case for Teradata is reporting. I am a business analyst and I use this solution to first analyze my data and then visualize it.