Abstract: Various product-configuration-related implementations are described herein. In one example implementation, a selection of a product is received. A plurality of sections associated with the product is determined. One or more option groups are determined for each of the sections. Each of the option groups includes one or more options for the product. A product configuration page is generated and provided for presentation to a user. The product configuration page includes a navigation panel. The navigation panel includes a plurality of tabs. Each tab in the plurality of tabs represents a certain section from the plurality of sections and includes one or more indicators corresponding to the one or more option groups included in the certain section. Each of the one or more indicators visually indicates whether an option from a corresponding option group has been selected.

Abstract: Techniques are described for analyzing usage of data stored in a data storage system without accessing the stored data. In some embodiments, workload data indicative of queries executed at the data storage system on stored data is received. This workload data can include query logs generated during execution of the queries. The workload data is processed to identify data elements such as tables, columns, and views associated with the stored data as well as information regarding usage of the identified data elements. Usage can include operations performed on the data elements during execution of the queries. Based on this processing relationships between the identified data elements can be inferred and visualizations generated that convey information regarding usage of the data stored at the data storage system.

Abstract: Techniques are described for analyzing usage of data stored in a data storage system without accessing the stored data. In some embodiments, workload data indicative of queries executed at the data storage system on stored data is received. This workload data can include query logs generated during execution of the queries. The workload data is processed to identify data elements such as tables, columns, and views associated with the stored data as well as information regarding usage of the identified data elements. Usage can include operations performed on the data elements during execution of the queries. Based on this processing relationships between the identified data elements can be inferred and visualizations generated that convey information regarding usage of the data stored at the data storage system.