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 Nevertheless, this approach now seems somewhat outdated—a legacy method.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 comprehensive data analysis and visualization capabilities that enhance decision-making processes for organizations. These tools help in transforming raw data into meaningful insights, ensuring informed strategic planning.Modern Reporting tools support businesses by offering advanced analytics, real-time data processing, and customizable dashboards. They integrate with multiple data sources, allowing users to consolidate information seamlessly. These solutions are...
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 Nevertheless, this approach now seems somewhat outdated—a legacy method.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.