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: A technology is described for automating deployment of a machine learning model. An example method may include receiving, via a graphical user interface, credentials for connecting to a data store containing a plurality of datasets and connecting to the data store using the credentials. A selection of a target metric to predict using the machine learning model can be received, via the graphical user interface, and datasets included in the plurality of datasets that correlate to the target metric can be identified by analyzing the datasets to identify an association between the target metric and data contained within the datasets. The datasets can be input to the machine learning model to train the machine learning model to generate predictions of the target metric, and the machine learning model can be deployed to computing resources in a service provider environment to generate predictions associated with the target metric.

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: 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: 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 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: In an aspect, provided is a method for targeted extraction of data satisfying a query. The method can rely upon one or more data structures indicative of data values satisfying or not satisfying one or more filters. Only the data indicated as satisfying (or as not satisfying) the data in a data structure related to the query are extracted. The extracted data may then be sorted.

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 and systems are disclosed for generating and using a knowledge graph. In an aspect, the knowledge graph may be generated based on data fields for one or more datasets associated with one or more parameters extracted from a group of chart data structures. In another aspect, a query dataset may be analyzed, and one or more query data fields may be extracted from the query dataset. The one or more query data fields may be compared to a knowledge graph stored in a graph database to determine one or more result data fields. A context may be determined for each of the one or more result data fields, and an associated data set may be determined. Based on the context, each of the associated data sets may be scored, and a recommended analysis may be presented to a user.

Abstract: Provided are methods, systems, and apparatuses for enabling an analytics user interface to be adaptive based on, among other things, content of a user-defined query. A computing device may receive the query, which is to be applied to a dataset. The computing device way receive the query via an analytics user interface. Based on the query and using a recommendation engine, a plurality of recommended result elements and associated visualization elements may be determined. Based on the query and a selected recommended result element, a query result may be generated. The query result may contain a portion of records from the dataset, which may associated with the query and the at least one result element.

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: 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: Provided are methods, systems, and computer readable media for user interaction with database methods and systems. In an aspect, a user interface can be generated to permit dynamic display generation to view data. The system can comprise a visualization component to dynamically generate one or more visual representations of the data to present in the state space.

Abstract: In an aspect, provided is a method comprising monitoring one or more data analysis sessions, determining, based on the monitoring, a common data analysis technique performed across common data analysis sessions, identifying the common data analysis technique as a precedent, and providing the precedent to a precedent engine.

Abstract: Disclosed are systems and methods for extracting and visualizing patterns in large-scale data sets. A data set comprising a plurality of data points is received. A plurality of connections between the plurality of data points is generated. Based on the plurality of connections, a plurality of groups from the plurality of data points is generated. A visual analytic comprising a plurality of geometrical shapes corresponding to the plurality of groups is generated.

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.