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 Nevertheless, this approach now seems somewhat outdated—a legacy method.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.
What is reporting software? Software that collects data from a database to provide insights and other information by way of charts or graphs is referred to as reporting software. Generally, reporting software is part of a business intelligence suite, and automates business reporting in a fraction of the time it would normally take. Although reporting software can vary in complexity, it still utilizes traditional processes of report generation. Reports generated from reporting software...
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 Nevertheless, this approach now seems somewhat outdated—a legacy method.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.