Abstract:
The technology disclosed preserves the tenant specificity and user specificity of the tenant data by associating user IDs to complementary special IDs referred to as the integration user(s). In particular, it combines the traceability of user actions, the integration of security models and the flexibility of a service ID into one integration user(s).
Abstract:
The technology disclosed relates to a platform for ultra-fast, ad-hoc data exploration and faceted navigation on integrated, heterogeneous data sets. The disclosed apparatus and methods for deep linking and state preservation via a URL make it possible to share live data as rendered on a live dashboard, without saving a new state on a server every time data and dashboard elements are updated.
Abstract:
The technology disclosed relates to a platform for ultra-fast, ad-hoc data exploration and faceted navigation on integrated, heterogenous data sets. The disclosed method of declarative specification of visualization queries, display formats and bindings represents queries, widgets and bindings combined on a dashboard in real time, with flexible display options for analyzing data and conveying analysis results.
Abstract:
The technology disclosed relates to a platform for ultra-fast, ad-hoc data exploration and faceted navigation on integrated, heterogeneous data sets. The disclosed method of declarative specification of visualization queries, display formats and bindings represents queries, widgets and bindings combined on a dashboard in real time, with flexible display options for analyzing data and conveying analysis results.
Abstract:
The technology disclosed relates to a platform for ultra-fast, ad-hoc data exploration and faceted navigation on integrated, heterogeneous data sets. The disclosed apparatus and methods for visual data analysis with animated informational morphing replay provide live data rendering on a live dashboard, with flexible display options for analyzing data and conveying analysis results.
Abstract:
The technology disclosed preserves the tenant specificity and user specificity of the tenant data by associating user IDs to complementary special IDs referred to as the integration user(s). In particular, it combines the traceability of user actions, the integration of security models and the flexibility of a service ID into one integration user(s).
Abstract:
The technology disclosed preserves the tenant specificity and user specificity of the tenant data by associating user IDs to complementary special IDs referred to as the integration user(s). In particular, it combines the traceability of user actions, the integration of security models and the flexibility of a service ID into one integration user(s).
Abstract:
Aggressive exploration can involve multiple, successive queries and visualizations. This creates difficulty scaling the resources needed to deliver fast responses. It is particularly complicated by regular rebuilding of analytic data stores, whether daily or on demand. Migrating queries using the technology described involves migrating indexed fields, known as dimensions, and quantity fields, known as measures, in the background during a query session. A session that starts in server query processing mode may switch to client query processing as enough data fields have been copied from the server to the client. When the client determines that it has enough data fields to process an incoming query, it can locally process the new query without passing it to the server. Since both the server and client are working from copies of the same read only analytic data structure, a user receives the same results from either client or the server.
Abstract:
The technology disclosed relates to a platform for ultra-fast, ad-hoc data exploration and faceted navigation on integrated, heterogeneous data sets. The disclosed method of declarative specification of visualization queries, display formats and bindings represents queries, widgets and bindings combined on a dashboard in real time, with flexible display options for analyzing data and conveying analysis results.
Abstract:
The technology disclosed relates to a platform for ultra-fast, ad-hoc data exploration and faceted navigation on integrated, heterogeneous data sets. The disclosed method of declarative specification of visualization queries, display formats and bindings represents queries, widgets and bindings combined on a dashboard in real time, with flexible display options for analyzing data and conveying analysis results.