Abstract: Technologies are described for converting object-based query language queries into structured query language (SQL) queries. For example, converting an object-based query written in an object-based query language to generate a converted SQL query can comprise extracting incompatible keywords from the object-based query, generating metadata for objects and fields used in the object-based query, inserting implicit query information into the object-based query, and transforming a structure of the object-based query into a SQL compatible structure. The object-based query can also be enriched with application information for mapping entities to specific applications. The converted SQL query can be output.

Abstract: Disclosed herein are system, method, and computer-readable device embodiments for automatically correcting erroneous license plate numbers generated by automatic license plate recognition. An embodiment operates by selecting a set of adjacent license plate recognition (LPR) stations comprising a first LPR station, a second LPR station, and a third LPR station, accessing an error pattern probability matrix for at least the third recognized license plate number accessed in relation to at least one of the first recognized license plate number or the second recognized license plate number differing from the third recognized license plate number, and determining a corrected license plate number based on the error pattern probability matrix. In some embodiments, LPR correction may be accurately realized even when an erroneous license plate numbers are missing characters, such as by visual obstruction from an LPR camera or sensor, or has no characters in common with the real license plate number.

Abstract: A method can include: generating a query execution plan for a query including a plurality of operations that operate on data from a relational database and data from a non-structured query language (NoSQL) database, the generating comprising optimizing the query by: identifying a first operation that operate on data from the relational database and an intermediate result output by a second operation, the second operation outputting the intermediate result by operating on the data from the NoSQL database; and determining a fixed datatype for the intermediate result, an indication of the fixed datatype being included in the query execution plan; and executing, based on the query execution plan, the query, the executing of the query comprising converting the intermediate result to the fixed datatype, the converting enabling the first operation to operate on the intermediate result output by the second operation along with the data from the relational database.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing a web component design and integration system. An embodiment operates by receiving, through an interface, a component file corresponding to adding a first component for a webpage, wherein the component file includes one or more features specific to a first framework. A container corresponding to the first framework is determined, wherein the container comprises one or more functions for accessing the component file, and wherein the one or more functions of the container are operable within a second framework associated with the webpage. A preview of the webpage is generated on the interface including both a visual display of the first component and a visual display of a second component associated with the second framework.

Abstract: A system includes reception of a request to check a foreign key definition associated with a database table, determination of a first foreign key relation of the foreign key definition, determination of whether the database table is a foreign key relation table identified in the first foreign key relation, and, if the database table is the foreign key relation table identified in the first foreign key relation, determine whether a data type of a foreign key field identified in the first foreign key relation is identical to a data type of a check table field identified in the foreign key relation, and return a first result associated with the first foreign key definition based on the determination of whether the data type of the foreign key field identified in the first foreign key relation is identical to the data type of the check table field identified in the foreign key relation.

Abstract: Methods, systems, and computer-readable storage media for receiving a set of training images and a set of classification labels, generating a set of target codebooks based on the set of classification labels, the set of target codebooks being provided as a first set of vectors of random value and dimension, generating a set of output codebooks based on the set of training images, the set of output codebooks being provided as a second set of vectors of random value and dimension, training a ML model by minimizing a loss function provided as a mean-squared-error (MSE) loss function, the loss function being measured by the Euclidean distance between an output codebook of the set of output codebooks and a target codebook of the set of target codebooks.

Abstract: A system for protecting personal data is disclosed. The system includes a general data privacy regulator module having a dataflow controller configured to monitor data communicated to and from one or more business applications, and having a retention engine configured to retain personal information from the data communicated to and from the business application according to at least one data privacy regulation. The system further includes a data privacy compliance module connected with the general data privacy regulator module, and configured with the data privacy regulation to monitor the dataflow controller and report to a client computer. The system further includes a data subject privacy request module connected with the general data privacy regulator module and the data privacy compliance module, and configured to receive one or more requests from the cloud computing platform about a data subject stored by the business application and generate an action based on the one or more requests.

Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for receiving a first current detected data value for a first sensor of a sensor network including multiple sensors, determining a first predicted data value based on historical data values of the first sensor, and a second predicted data value based on a second current detected data value for a second sensor, providing a combined predicted data value based on the first predicted data value, and the second predicted data value, comparing the first current detected data value and the combined predicted data value to provide a comparison, and determining a first corrected data value for the first sensor.

Abstract: A method for executing a graph algorithm is provided. The method may include responding to a request from a client to execute a graph algorithm on graph data stored in a database by determining data required to execute the graph algorithm. In response to determining that a first portion of the data required to execute the graph algorithm is absent from an existing adjacency structure that includes a second portion of the data required to execute the graph algorithm, the existing adjacency structure may be modified to include the first portion of data. The graph algorithm may be executed based on the modified adjacency structure. The execution of the graph algorithm may include querying, based on the modified adjacency structure, the graph data stored in the database. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A method may include generating, for a first time period having a first length, an instance of a collector object. The collector object may be configured to collect values over time periods having the first length. The instance of the collector object may be updated based on one or more values from a first record. The first record may store values collected over a second time period having a second length. A valuation operation may be performed based at least on the first instance of the collector object. The performance of the valuation operation may require values spanning at least one time period having the first length. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A method of modifying a database architecture to improve database performance is disclosed. A replication database table is generated from an original database table. The original database table is divided into a first plurality of partitions optimized for handling accesses for satisfying a first type of query. The replication database table is divided into a second plurality of partitions optimized for handling accesses for satisfying a second type of database query. Based on receiving the database query of the first type, the query of the first type is routed to one host of a plurality of hosts to satisfy the query, the one host hosting one of the first plurality of partitions; based on receiving the database query of the second type, the query is routed to the same or another host of the plurality of hosts to satisfy the query, the second host hosting one of the second plurality of partitions.

Abstract: A system, a method, and a computer program product for providing transparent access to multi-temperature data are disclosed. A query for accessing data is received. The query includes at least one selection parameter for retrieval of data. The data is stored in a plurality of partitions of a database system. Each partition has a maximum data value per column, a minimum data value per column, and a predetermined date associated with the data contained in the partition. A determination is made whether at least one selection parameter is greater than the minimum data value per column and less than the maximum data value per column. The queried data is retrieved from the partition using the predetermined date associated with the data contained in the partition.

Abstract: In one respect, there is provided a distributed database system that includes a global scheduler node and a first local scheduler node. The global scheduler node can be configured to generate an execution plan for a query requiring data stored at and/or managed by a first and a second worker node assigned to the first local scheduler node. The execution plan can include a first fragment having operations to be performed by the first and second worker node. The first local scheduler node can be configured to coordinate the execution of a portion of the first fragment of the execution plan by distributing, to the first and second worker node, operations included in the first fragment of the execution plan, and routing, between the first and second worker node, messages associated with executing the first fragment of the execution plan. Related methods and computer program products are also provided.

Abstract: A computer-implemented method receives a program code and a signature associated with the program code from a database persistency associated with an enterprise threat detection (ETD) system. The received program code is associated with a configuration check, and the configuration check is developed at a development computing system and can collect information associated with a computing system. The received program code and the signature associated with the program code is distributed to a plurality of computing systems that are monitored by the ETD system. At least one configuration check result is received, and the configuration check result is generated by executing the program code on the computing system. The at least one configuration check result then transmitted to the database persistence, and the at least one result is displayed on a database graphical user interface (GUI) associated with the database persistency.

Abstract: A specification of the process model is received. The process model includes a plurality of process components. A relationship between a first process component and another process component of the plurality of process components is determined using a predictive model. A process rule for the first process component is determined. The process rule specified a second process component to be executed. The process rule includes the relationship determined using the predictive model or a heuristic rule. The second process component is executed according to the process rule.

Abstract: Disclosed herein are system, method, and computer program product embodiments for secure data aggregation in databases. An embodiment operates by identifying a value column and a group column of a plurality of columns of a dataset. Two distinct group values of the group column are identified. A first group value is replaced with a first substitute value, and a second group value is replaced with a second substitute value. A value of the value column of each of the plurality of records and the substitute values are encrypted. The plurality of encrypted records are uploaded to a server.

Abstract: Technologies are described for transforming data using exchanged metadata. For example, domain object metadata that defines one or more domain entities can be received. The domain object metadata is associated with a first application. Transformation metadata that defines transformations to be carried out for the one or more domain entities can be received. The transformation metadata is associated with a second application. Data to be transformed can be received (e.g., from the first application). The received data can be transformed according to the transformation metadata. The transformed data can be output (e.g., sent to the second application).

Abstract: A method may include generating a first tracking object corresponding to at least one change to a software product. The at least one change may be a part of a first update to the software product. The at least one change may have an implementation that requires a completion of a task associated with a second tracking object at another system. The second tracking object may be configured to at least determine when the task is complete. An indication that the task is complete may be received from the second tracking object. In response to receiving the indication, the first tracking object may test the at least one change. In response to the at least one change failing to pass the testing, the second tracking object may be added to a third tracking object associated with a second update to the software product.

Abstract: Linguistic expressions for training a chatbot can be generated in an automated system via linguistic expression templates that are associated with intents. The pre-categorized linguistic expressions can then be used for training and validation. Chatbot development can thus be improved by having a large number of expressions for development, leading to a more robust chatbot. In practice, the process can iterate with modifications to the templates until a suitable benchmark is met. The technique can be applied across human languages to generate chatbots conversant in any number of languages and is applicable to a variety of domains.

Abstract: A computer-implemented method can receive a new plan deviation alert having a deviation level that quantifies a mismatch between expected supply chain parameters specified by a supply chain plan and observed supply chain parameters. Responsive to the new plan deviation alert, the method can perform a rule-based search to find a plurality of potential remediation solutions to correct the mismatch. The method can simulate implementation of the potential remediation solutions and evaluate expended resources associated with them. Based on the evaluated expended resources, the method can generate a ranked list of candidate remediation solutions and display the ranked list of candidate remediation solutions in a user interface. The method can receive a selected remediation solution from the ranked list of candidate remediation solutions for initiation. Machine learning can be used on an expert user's selection to adapt to the expert's preferences and provide more relevant remediation solutions.