Abstract: Technologies are provided for detection and mitigation of high-risk online activity. The detection and mitigation can be implemented in real-time. In some embodiments, a computing system can determine that a risk assessment for an online activity is unavailable from an in-memory storage. The computing system can obtain the risk assessment for the online activity from a second computing system configured to apply a prediction model to data defining the online activity. The risk assessment can comprise a risk score and a risk category. The computing system can update the in-memory storage to incorporate the data and the risk assessment, and can determine that the risk assessment is indicative of the online activity being high-risk activity. The computing system can then cause denial of access to a computing platform to a user device associated with the online activity.

Abstract: Set analysis may be used to determine the best data analysis model(s) (e.g., data charts, data tables, data graphs, data maps, graphical objects, key performance indicators (KPIs), etc.) for representing the results of an undetermined query (e.g., an imprecise query, an undefined query, an incomplete query, a partially expressed query, a portioned query, etc.).

Abstract: Technologies are provided for database modification using a script component. In some embodiments, a method comprises executing, by a computing system comprising at least one processor, a script component comprising one or more functions to transform a database. The method also includes modifying, by the computing system, the database based on at least one transformation defined by the one or more functions in response to executing the script component.

Abstract: Systems and methods for processing queries are described herein. As an example, a query may comprise an expression. Based on the expression, one or more indexlets may be determined. Using the one or more indexlets, a result of the expression may be determined.

Abstract: Provided are methods and systems comprising receiving a plurality of data tables, wherein each data table comprises at least one row, generating a first handle for a first value in a table of the plurality of tables, wherein the first handle comprises an indication of whether a row in each of the plurality of tables is associated or not associated with the first value, and performing one or more operations on the first handle.

Abstract: Provided are methods and systems for traversing a data model with a plurality of workers to generate a plurality of virtual records for use in evaluating an expression by a plurality of aggregators. Each aggregator may receive a respective virtual record and evaluate a hypercube function and determine a respective hash based on the respective virtual record. The virtual records based on the respective hash values of the respective virtual records may be stored by the plurality of aggregators.

Abstract: In an aspect, provided is a method comprising receiving a data model, partitioning a first table in the data model into a first plurality of blocks of rows, generating a first plurality of indexlets, the first plurality of indexlets comprising a first plurality bidirectional indexes, each of the first plurality of bidirectional indexes being generated based on a corresponding one of the first plurality of blocks of rows.

Abstract: Provided are methods comprising receiving a query for information from a database, determining particular data element types and data element values that are the subject of the query, instantiating a query data structure containing the data element types and the data element values that are the subject of the query, identifying records within the database that contain one or more data element types and/or data element values that are included in the query data structure, and instantiating a results data structure comprising information relating to the identified records.

Abstract: Methods and systems for improved analytics are provided. A Software as a Service (SaaS) platform may be implemented as a distributed system using a public infrastructure, such as a public cloud, and an on-premises infrastructure, such as a private cloud. A control plane for the SaaS platform may reside in the public cloud, while a data plane for the SaaS platform may reside in the on-premises private cloud.

Abstract: Provided are methods and systems comprising determining one or more relationships between a plurality of data sets, determining a score for each of the one or more relationships, generating a graphical data set object for each of the plurality of data sets, classifying each graphical data set object as connected or unconnected based on the score for each of the one or more relationships, generating a graphical connector object between connected graphical data set objects, and outputting the connected graphical data set objects with corresponding graphical connector objects and the unconnected graphical data set objects.

Abstract: Methods and systems for representing data are disclosed. An example method can comprise providing a first representation of data and receiving a request to change resolution of the data. An example method can comprise, transforming, based on at least one wavelet function, the data to at least one of reduced data or expanded data. An example method can comprise providing a second representation of the data based on at least one of the reduced data or expanded data.

Abstract: In an aspect, provided is a method comprising receiving, at a master node, capability information associated with a plurality of worker nodes, receiving, at the master node, an indexation request, and in response to the indexation request, distributing one or more tasks to the plurality of worker nodes based on the respective capability information, wherein the one or more tasks relate to generating a plurality of indexlets.

Abstract: Natural language can be used to conduct a conversation that yields analytic results. An interactive user interface can present suggestive content associated with a natural language input to a user. The suggestive content can guide assist the user in obtaining analytic data/information relating to a business, industry, and/or the like. An ontology comprising one or more content items associated with the natural language input can generated. The ontology can be represented as and/or associated with a data structure that temporal correlates a plurality of content items to the natural language input.

Abstract: In an aspect, provided is a method comprising receiving an expression involving one or more dimensions, determining one or more indexlets associated with the one or more dimensions, querying each of the one or more indexlets with the expression, receiving a result from each of the one or more indexlets, and aggregating the results.

Abstract: Provided are methods and systems comprising receiving a data set comprising a plurality of records having a plurality of fields, displaying a plurality of graphical objects representing the plurality of records, receiving a selection of one or more of the plurality of fields, determining, based on the selected one or more of the plurality of fields, a similarity score between each of the records of the plurality of records, and adjusting, based on the similarity scores, the plurality of graphical objects.

Abstract: Methods comprising loading a data model in-memory, providing a first graphical object of loaded data based on the data model, wherein the first graphical object represents a plurality of data sets, executing a first procedure in an inference engine based on a user selection in the plurality of data sets to generate a data subset, executing a second procedure in a calculation engine to generate a first multidimensional data cube based on the data subset to generate a second graphical object, providing at least a portion of the data subset to an external engine to perform a third procedure, receiving a result of the third procedure from the external engine, repeating the first procedure and the second procedure based on the data subset and the result of the third procedure to generate a second multidimensional data cube and to generate a third graphical object, and providing the third graphical object.

Abstract: Provided are methods comprising receiving a query for information from the database, determining particular data element types and data element values that are the subject of the query, instantiating a query data structure containing the data element types and the data element values that are the subject of the query, identifying records within the database that contain one or more data element types and/or data element values that are included in the query data structure, and instantiating a results data structure comprising information relating to the identified records.

Abstract: Set analysis may be used to determine the best data analysis model(s) (e.g., data charts, data tables, data graphs, data maps, graphical objects, key performance indicators (KPIs), etc.) for representing the results of an undetermined query (e.g., an imprecise query, an undefined query, an incomplete query, a partially expressed query, a portioned query, etc.).

Abstract: A method and system for developing data integration applications with reusable semantic types to represent and process application data. Methods include creating schemas to describe external data, creating semantic types to describe internal data, mapping schemas to semantic types, developing dataflows that configure input and output operations using schemas, mappings, and semantic types and all other transformation operations and functions based solely on semantic types, and executing dataflows defined in this manner.

Abstract: A method for retrieving calculation results, wherein a first input or selection causes a first calculation on a database to produce an intermediate result, and a second selection or input causes a second calculation on the intermediate result, producing a final result. These results are cached with digital fingerprint identifiers. A first identifier is calculated from the first selection, and a second identifier is calculated from the second selection and the intermediate result. The first identifier and intermediate result are associated and cached, while the second identifier and final result are associated and cached. The final result may be then retrieved using the first and second selections or inputs by recalculating the first identifier and searching the cache for the first identifier associated with the intermediate result. Upon locating the intermediate result, the second identifier may be recalculated to locate the cached second identifier associated with the final result.