Interoperability: Getting the Most Out of Your Analytic Investments

This is a companion discussion topic for the original entry at https://www.rstudio.com/blog/interoperability-maximize-analytic-investments


Photo by Federico Beccari on Unsplash
The Challenges of Complexity and Underutilization Organizations typically have multiple different environments and frameworks to support their analytic work, with each tool providing specialized capabilities or serving different audiences. These usually include:
Spreadsheets created in Excel or Google Sheets, Data science tools including R, Python, SPSS, SAS, and many others, BI tools such as Tableau or PowerBI, Data storage and management frameworks including databases and Spark clusters, Job management clusters such as Kubernetes and Slurm.