Abstract: This specification provides data processing methods, apparatuses and devices. In embodiments of the specification, table data includes a state identifier for indicating whether a target table is in a use state or an idle state. Therefore, after an occupying-table request is received, the table data can be obtained, and the state of the target table can be determined from the state identifier in the table data. If the target table is in the idle state, the table data is locked; after the state identifier is updated to the use state, the table data is released; and occupying-table data of the target table is generated to respond to the occupying-table request.

Abstract: The disclosure provides examples of methods, apparatuses, systems, and computer program products for implementing a search indexer. One example method includes receiving, by index workflow circuitry, a search index update indicator, causing, by the index workflow circuitry and in response to receiving the search index update indicator, index generation circuitry to retrieve data sets from a plurality of data sources, calculating a checksum for each of the data sets, comparing the checksum for each of the data sets to a set of search index metadata, in response to determining that at least one checksum for at least one of the data sets does not match a metadata checksum from the set of search index metadata, generating a set of search index data from the data set corresponding to the at least one checksum, generating a search index using at least the set of search index data, and transmitting the search index to a search service for use in responding to at least one search query.

Abstract: Systems and methods are provided for improved interactive graphical user interfaces. The system allows users to visually construct queries of a database. The system can dynamically generate visual representations of supplemental data and cumulative data. Users can share annotations related to user input queries via the graphical user interface.

Abstract: Systems and methods for contextual memory capture and recall are provided. The contextual memory capture and recall systems and methods help a user create, store, and recall memory information associated with an identified activity. The contextual memory capture and recall systems and methods are capable of identifying user activities where a memory inquiry may be desirable, creating a memory inquiry with a recommended memory action based on the activity, providing the memory inquiry to the user, and automatically linking an accepted memory action, along with any received memory information for the memory action, with the identified activity.

Abstract: A method and a system for extracting and formatting financial time-series data is provided. The method includes: receiving a first set of tabular data; segmenting the first set of tabular data into a plurality of cells; determining whether each respective cell is a header cell or a content cell; for each header cell, normalizing each of a time period and a metric associated therewith; for each content cell, determining one or more column header cells and one or more row header cells associated. therewith; and generating an output table based on a result thereof.

Abstract: The invention relates to electronic indexing, and more particularly, to the indexing, in a cloud, data held in a cloud. Systems and methods of the invention index data by accessing the data in place in the cloud and breaking a job into work items and sending the work items to multiple cloud processes that can each determine whether to index data associated with the work item or to create a new work item and have a different cloud process index the data. Each cloud process is proximal to an item that it indexes. This gives the system scale as well as an internal load-balancing.

Abstract: A method implemented by a computer system including receiving a transaction for a blockchain to update a data record persistently stored on the blockchain, the transaction specifying updated values for one or more of a plurality of data elements of the data record, and updating correlated data records separate from the blockchain in a database system to match the updated values for the data record in the blockchain.

Abstract: A method implements a table discovery service. The method includes receiving a query string, converting the query string to a query graph, and identifying a selected graph, of a set of graphs, that matches the query graph. The method further includes transmitting a notification identifying a previously generated table corresponding to the selected graph, receiving a notification response to accept the previously generated table, and transmitting data from the previously generated table in response to the query string.

Abstract: The present disclosure relates data distribution process configuration methods and apparatuses, electronic devices and storage media. The method includes: in response to detecting a trigger operation that represents creating a service process of a data distribution service, displaying a workbench of the service process; the workbench includes an area for displaying node plug-ins and an area for displaying a canvas; in response to detecting a trigger operation that represents dragging a node plug-in to the canvas, obtaining node plug-ins of the service process; in response to detecting a trigger operation that represents connecting the node plug-ins, obtaining configuration information of the service process, the configuration information represents a data distribution process from a data source end to a data receiving end.

Abstract: Architectures and techniques are presented that can more efficiently update derived data products in response to updated source data. Source data is typically stored in source tables, whereas a materialized view of a query can generate a derived table based on the state of the source tables at the time the query is executed. When source data changes (e.g., in response to late-arriving input data), rather than recomputing the entire derived table (e.g., by again executing the original query, which can be expensive), an invertible relationship between timestamps can be leveraged to identify only those portions of the derived table that are affected by the update. Therefore, a new defining query can be generated to update only those portions of the derived table that are affected by the source data update.

Abstract: Updates to a hierarchical data structure may be selectively replicated to other replicas of the hierarchical data structure. An update for a hierarchical data structure may be received and committed to the hierarchical data structure. A determination as to whether any other replicas of the hierarchical data structure have permission to receive the update may be made. For those replicas of the hierarchical data structure with permission to receive the update, the update may be provided to the replicas and committed to the replicas. Different types of replication techniques may be implemented, such as pull-based replication techniques or push-based replication techniques. Replication permissions for objects of the hierarchical data structure may be individually defined, in some embodiments.

Abstract: Systems and methods for entering and storing data. User input defining a data set is received. A data collection construct including a data entry user interface for inputting data in the data set is defined using the user input. A data storage construct including queries for retrieving the data is automatically defined based on the user input. Additional user input indicating modifications to the data set is received. The data collection construct, the data storage construct, and the queries are automatically updated based on the additional user input indicating modifications to the data set.

Abstract: Provided herein are systems and methods for a stream object configuration, including configuring and processing streams on views and streams on tables. For example, a method includes parsing, by at least one hardware processor, a received query to determine a plurality of data processing operations associated with a base table. A stream object on the base table is generated. The stream object includes a plurality of query results from executing the plurality of data processing operations and a corresponding plurality of time stamps of times the plurality of query results are obtained. A stream expansion of the stream object is performed. The stream expansion is based on computing changes to the base table from the plurality of data processing operations.

Abstract: A data structuring system that provides a user interface to enable data wrangling and modeling, and methods for making and using the same.

Abstract: Data processing engines are provided that include an electronic display, a decoding functionality selector, a decoding functionality generator in communication with the decoding functionality selector, and a decoding functionality verifier, each configured as described anywhere herein. Related methods of automatically constructing platform-independent decoders for encoded digital data encoded in particular formats are also provided as described anywhere herein.

Abstract: Various embodiments include a data monitoring system that monitors the operations of a data pipeline. The data monitoring system receives a call from the data pipeline to ingest unprocessed data. The data monitoring system generates metadata based on the unprocessed data and responsively computes expected data outputs. The data monitoring system receives a call from the data pipeline to ingest processed data that comprises actual data outputs generated by the data pipeline. The data monitoring system generates output metadata based on the processed data. The data monitoring system compares the metadata for the expected data outputs with the output metadata for the actual data outputs and determines when the expected data outputs do not align with the actual data outputs. When the expected data outputs do not align with the actual data outputs, the data monitoring system generates and transfers an alert signifying the non-alignment.

Abstract: Arrangements for database schema creation and control are provided. In some aspects, a user may request creation or modification of a database schema. In response to receiving the request, one or more interactive user interfaces may be generated. The one or more interactive user interfaces may enable a user to select one or more selectable options for presenting data, establishing relationships between data, data sources, and the like. The schema, including a schema configuration including the presentational aspects and relationships, may be stored. A user may request to view data and the stored database schema may be retrieved. The schema may be transmitted to a configuration engine that may retrieve the requested data from one or more non-relational database sources. One or more user interfaces may be dynamically generated based on the schema configuration and may include the retrieved data.

Abstract: A data processing method provides an improvement in speed of obtaining, in response to a computer search query from one or more computing devices, a particular compressed data chunk that may include a particular data value that is digitally stored in a large data file.

Abstract: In one embodiment, a system is provided. The system includes a first client. The system also includes an analysis server coupled to the first client. The system further includes a first customer database of information coupled to the analysis server. The first customer database is to embody forecast data and to receive essentially real-time updates to the forecast data. The first customer database supports an OLAP cube associated with the analysis server.

Abstract: According to some embodiments, methods and systems may be associated with a cloud computing environment. A workload prediction framework may receive observed workload information associated with a database in the cloud computing environment (e.g., a DataBase as a Service (“DBaaS”)). Based on the observed workload information, a Statement Arrival Rate (“SAR”) prediction may be generated. In addition, a host variable assignment prediction may be generated based on the observed workload information. The workload prediction framework may then use the SAR prediction and the host variable assignment prediction to automatically create a workload prediction for the database. A physical database design advisor (e.g., a table partitioning advisor) may receive the workload prediction and, responsive to the workload prediction, automatically generate a recommended physical layout for the database (e.g., using a cost model, the current physical layout, and an objective function).