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: 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: Low latency communication between a transactional system and analytic data store resources can be accomplished through a low latency key-value store with purpose-designed queues and status reporting channels. Posting by the transactional system to input queues and complementary posting by analytic system workers to output queues is described. On-demand production and splitting of analytic data stores requires significant elapsed processing time, so a separate process status reporting channel is described to which workers can periodically post their progress, thereby avoiding progress inquiries and interruptions of processing to generate report status. This arrangement produces low latency and reduced overhead for interactions between the transactional system and the analytic data store system.

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: A predicate-based row level security system is used when workers build or split an analytical data store. According to one implementation, predicate-based means that security requirements of source transactional systems can be used as predicates to a rule base that generates one or more security tokens, which are associated with each row as attributes of a dimension. Similarly, when an analytic data store is to be split, build job, user and session attributes can be used to generate complementary security tokens that are compared to security tokens of selected rows. Efficient indexing of a security tokens dimension makes it efficient to qualify row retrieval based on security criteria.