Data Fabric technology introduces the new concept of linked data and replaces the concept of inner-joins used in SQL. This new approach allows queries to function in a more efficient manner by removing data duplication. The CQL language is primarily used to retrieve data and metadata from all data in tables across the Fabric. It includes essential functions such as creating tables, inserting and deleting data, and more. Queried data can also be easily pivoted to create charts, graphs, and heatmaps. These visualizations can be saved in Cinchy as Applets that can be viewed and shared with others through the Data Marketplace.