Data warehouse modernization using Redshift
We will start with the most obvious high-level use case: organizations that want to modernize their data warehouses. The primary reason to modernize is that traditional data warehouses are unable to keep up with the new emerging use cases. Due to their architectural limitations, traditional data warehouses are not able to handle the exponential growth in data volume along with the new variety of data that’s being produced. Long story short, traditional data warehouses have become slow, complex, and expensive. Let’s bring up the use case from GreatFin again.
Use case for data warehouse modernization
GreatFin has an on-premises data warehouse that is nearing its end of life. The continuous requests from businesses to support newer types of data analytics use cases have made this platform difficult to operate and expand. Its performance is becoming slow and the infrastructure and operating expenses are growing steadily. They...
