Once you start using the cloud-based services, it doesn't take long to learn that the tools used for in-premise processes fall short of expectations. Even if the process didn't change much, tools that use native technology provided by the service, regardless of Azure, AWS or Google would perform better, saving you time and money.
When looking to develop tools, there is a tendency to expect them to do everything, making the tool complex, expensive and difficult to maintain. Taking a more modular approach usually makes it quicker to implement and maintain. A tool is not necessarily an executable; it could be a script or a well-designed workflow executed manually or running in the cloud. Regardless if it is part of your ELT process, Data warehouse or test automation, we have expertise and ideas to make it better. We can help you identify those small pieces of work that can considerably improve your goals, even if the budget is small.
Examples of tools we can work on includes,
1. Azure data loading, transferring or processing such as Data Factory related
2. Azure Logic apps
3. Azure Function apps
4. Azure streaming
5. AWS S3, Cognito related
6. AWS EC2 related
7. Google big query
8. Google cloud storage
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