Abstract: A method includes executing a program that specifies operations and accessing a translation file that includes instructions for translating the language of the program into a language of a database. The translation file specifies operations in the language of the program that are supported by the database and the semantic meaning of the supported operations in the language of the database. Operations of the program that are unsupported by the database are processed by the program. Operations of the program that are supported by the database are determined from the translation file, and a portion of the program representing the supported operations is translated, using the translation file, into the language of the database and transmitted to the database. Data resulting from execution, within the database, of the translated portion of the program representing the operations that are supported by the database is received by the program.

Abstract: At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by at least one computer hardware processor, cause the at least one computer hardware processor to perform: obtaining an automatically generated initial dataflow graph, the initial dataflow graph comprising a first plurality of nodes representing a first plurality of data processing operations and a first plurality of links representing flows of data among nodes in the first plurality of nodes; and generating an updated dataflow graph by iteratively applying dataflow graph optimization rules to update the initial dataflow graph, the updated dataflow graph comprising a second plurality of nodes representing a second plurality of data processing operations and a second plurality of links representing flows of data among nodes in the second plurality of nodes.

Abstract: A method performed by a data processing system for processing data, the method including: intermittently receiving data from one or more data streams, the received data including data records; detecting two or more particular data records in the received data records, where the detected two or more particular data records each include a particular identifier; for that particular identifier, creating a collection of data records; for at least one particular data record included in the collection of data records, searching data records for a historical aggregation of data; and computing combined data; modifying a data record by inserting the combined data into a field of the data record and by inserting data from at least one of the data records in the collection into another field of the data record; based on applying the rules, writing to memory one or more instructions for initiation of one or more actions.

Abstract: A method is described for processing keyed data items that are each associated with a value of a key, the keyed data items being from a plurality of distinct data streams, the processing including collecting the keyed data items, determining, based on contents of at least one of the keyed data items, satisfaction of one or more specified conditions for execution of one or more actions and causing execution of at least one of the one or more actions responsive to the determining.

Abstract: Techniques for managing access privileges in a data processing system include obtaining a plurality of rules for granting and/or denying privileges to a first actor to perform at least one action on a first instance of a first data entity of data entities; identifying, from among attributes of the first data entity, a first attribute whose values are used by one or more of the plurality of rules; obtaining, from a user or from at least one data store, a first value of the first attribute; identifying, using the first value and from among the plurality of rules, a first rule that depends on the first value; generating a graphical user interface (GUI) including a visual rendering of at least some of the plurality of rules, the visual rendering emphasizing the first rule identified using the first value of the first attribute; and displaying the generated GUI to the user.

Abstract: A data processing system that receives user input specifying datasets on which operations are performed with user interfaces that enable manipulation of hierarchical groups of datasets. A user interface may enable individual datasets or a previously defined group of datasets to be aggregated into another grouping. The groupings may be scoped, including by persona of users, such that, when a user is prompted to specify one or more datasets as a target of an operation by the data processing system, the available choices are limited to datasets that have a scope encompassing that user. The interfaces may prompt a user to select a grouping within the hierarchy that contains datasets on which the operation can be performed. Upon selection of a grouping with multiple datasets as a target of an operation that is performed on datasets singly, the operation may be performed on each dataset in the selected group.

Abstract: A method is described for processing keyed data items that are each associated with a value of a key, the keyed data items being from a plurality of distinct data streams, the processing including collecting the keyed data items, determining, based on contents of at least one of the keyed data items, satisfaction of one or more specified conditions for execution of one or more actions and causing execution of at least one of the one or more actions responsive to the determining.

Abstract: Techniques for obtaining information about data entity instances managed by a data processing system using at least one data store. The techniques include obtaining a query comprising a first portion comprising information for identifying instances of a first data entity stored in at least one data store; and a second portion indicating at least one attribute of the first data entity; generating, from the query, a plurality of executable queries including a first set of one or more executable queries and a second set of one or more executable queries, the generating comprising: generating, using the first portion, the first set of executable queries for identifying instances of the first data entity, and generating, using the second portion, the second set of executable queries for obtaining attribute values for instances of the first data entity; and executing the plurality of executable queries to obtain results for the query.

Abstract: A computing system includes a distributed computing cluster including a plurality of computing nodes interconnected by an interconnect network over which the computing nodes of the plurality of computing nodes communicate with each other by passing messages. The computing nodes are configured with a first parameter governing transmissions of messages by the computing nodes over the interconnect network. The computing nodes are configured to accumulate messages for transmission as a group of messages according to the first parameter, and the computing system is configured to limit injections of computing requests into the distributed computing cluster according to a second parameter. A controller is configured to receive at least one predetermined service level requirement and to control a value of the second parameter and a value of the first parameter to control a computational throughput of the distributed computing cluster while complying with the at least one service level requirement.

Abstract: Techniques for allowing a user to invoke lifecycle operations on a data store configured in accordance with a data management scheme, without knowledge of the data management scheme. Techniques include receiving user input from a user interface; identifying, in the received user input, an indication of a first lifecycle operation corresponding to a first entry in a template; based on information in the first entry, identifying in the received user input a first configuration value associated with the first lifecycle operation; formatting the first configuration value as at least a portion of at least one argument to a first command; and invoking, via the first command with the at least one argument, a first computer program configured to perform the first lifecycle operation on the data store.

Abstract: A method for generating an executable application to transform and load data into a structured dataset includes receiving a metadata file that specifies values for parameters for structuring data feeds, received from a networked data source, into a structured database. The metadata file specifies logical rules for transforming the data feeds. The values of the parameters and the logical rules for transforming the plurality of the data feeds are validated to ensure logical consistency for each data feed. Data rules are generated that specify standards for transforming each data feed in accordance with the validated values of the parameters and logical rules. The executable application is generated that is configured to receive source data comprising a data feed from one or more data sources and transform the source data into structured data that satisfies the one or more standards for the structured data record in compliance with the data rules.

Abstract: Methods and systems are configured to determine a semantic meaning for data and generate data processing rules based on the semantic meaning of the data. The semantic meaning includes syntactical or contextual meaning for the data that is determined, for example, by profiling, by the data processing system, values stored in a field included in data records of one or more datasets; applying, by the data processing system, one or more classifiers to the profiled values; identifying, based on applying the one or more classifiers, one or more attributes indicative of a logical or syntactical characteristic for the values of the field, with each of the one or more attributes having a respective confidence level that is based on an output of each of the one or more classifiers. The attributes are associated with the fields and are used for generating data processing rules and processing the data.

Abstract: A method for generating an executable application to transform and load data into a structured dataset includes receiving a metadata file that specifies values for parameters for structuring data feeds, received from a networked data source, into a structured database. The metadata file specifies logical rules for transforming the data feeds. The values of the parameters and the logical rules for transforming the plurality of the data feeds are validated to ensure logical consistency for each data feed. Data rules are generated that specify standards for transforming each data feed in accordance with the validated values of the parameters and logical rules. The executable application is generated that is configured to receive source data comprising a data feed from one or more data sources and transform the source data into structured data that satisfies the one or more standards for the structured data record in compliance with the data rules.

Abstract: A method implemented by a data processing system including: accessing the container image that includes the first application and a second application; determining, by the data processing system, the number of parallel executions of the given module of the first application; for the given module, generating a plurality of instances of the container image in accordance with the number of parallel executions determined, for each instance, configuring that instance to execute the given module of the first application; causing each of the plurality of configured instances to execute on one or more of the host systems; and for at least one of the plurality of configured instances, causing, by the second application of that configured instance, communication between the data processing system and the one or more of the host systems executing that configured instance.

Abstract: A computer-implemented method for debugging an executable control flow graph that specifies control flow among a plurality of functional modules, with the control flow being represented as transitions among the plurality of functional modules, the computer-implemented method including: specifying a position in the executable control flow graph at which execution of the executable control flow graph is to be interrupted; wherein the specified position represents a transition to a given functional module, a transition to a state in which contents of the given functional module are executed or a transition from the given functional module; starting execution of the executable control flow graph in an execution environment; and at a point of execution representing the specified position, interrupting execution of the executable control flow graph; and providing data representing one or more attributes of the execution environment in which the given functional module is being executed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for workload automation and job scheduling information. One of the methods includes obtaining job dependency information, the job dependency information specifying an order of execution of a plurality of jobs. The method also includes obtaining data lineage information that identifies dependency relationships between data stores and transformation, wherein at least one transformation accepts data from a first data store and produces data for a second data store. The method also includes creating links between the job dependency information and the data lineage information. The method also includes determining an impact of a change in a planned execution of an application of the plurality of applications based on the job dependency information, the created links, and the data lineage information.