As an enterprise architect, I observed various user groups and conducted capability mapping exercises. Through interviewing these diverse user groups, I recognized a strong potential in consolidating them onto a unified platform. Three years ago, I brought them to RStudio Connect. However, instead of utilizing the task option, we opted for a local installation. To handle large model processing, we provisioned a dedicated service server allowing up to four users to simultaneously log in and execute their modeling jobs. Nevertheless, this approach now seems somewhat outdated—a legacy method. We aimed to explore alternatives rather than solely relying on infrastructure to bolster our large-scale computational capabilities. Upon evaluation, RStudio Connect appears to be a promising solution due to its robust capabilities. RStudio Connect has its utility, and Databricks is supposed to be used in a different way. RStudio is for the functions and features you need to model, whereas Databricks is more for an analysis plot form where we can do a big data analysis. RStudio is a great tool. Many people should be using it. SAS has its utility. It has become the SAP of the ERP. Overall, I rate the solution an eight out of ten.
Reporting solutions provide businesses with the capability to analyze and present data in a structured format, enabling better decision-making and performance tracking.
Leaders in this field offer tools that convert raw data into meaningful insights. Modern Reporting solutions integrate seamlessly with other business software, enhancing efficiency and ensuring accurate data interpretation. They are used across sectors like finance, healthcare, and retail to optimize operations and...
As an enterprise architect, I observed various user groups and conducted capability mapping exercises. Through interviewing these diverse user groups, I recognized a strong potential in consolidating them onto a unified platform. Three years ago, I brought them to RStudio Connect. However, instead of utilizing the task option, we opted for a local installation. To handle large model processing, we provisioned a dedicated service server allowing up to four users to simultaneously log in and execute their modeling jobs. Nevertheless, this approach now seems somewhat outdated—a legacy method. We aimed to explore alternatives rather than solely relying on infrastructure to bolster our large-scale computational capabilities. Upon evaluation, RStudio Connect appears to be a promising solution due to its robust capabilities. RStudio Connect has its utility, and Databricks is supposed to be used in a different way. RStudio is for the functions and features you need to model, whereas Databricks is more for an analysis plot form where we can do a big data analysis. RStudio is a great tool. Many people should be using it. SAS has its utility. It has become the SAP of the ERP. Overall, I rate the solution an eight out of ten.