Abstract: Some embodiments relate to a method for use in connection with governance of a plurality of data assets managed by a data processing system, the method comprising: using at least one computer hardware processor to perform: accessing a data governance policy comprising a first data standard (e.g., by obtaining information about the first standard stored in a database system); generating a first data asset collection at least in part by automatically selecting, from among the plurality of data assets managed by the data processing system and using at least one data asset criterion, one or more data assets that meet the at least one data asset criterion; associating the first data asset collection with the first data standard; and verifying whether at least one of the one or more data assets in the first data asset collection complies with the first data standard.

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: 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: 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: 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: 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: Techniques for determining processing layouts to nodes of a dataflow graph.

Abstract: Techniques for using finite state machines (FSMs) to implement workflows in a data processing system comprising at least one data store storing data objects and a workflow management system (WMS). The WMS is configured to perform: determining a current value of an attribute of a first data object by accessing the current value in the at least one data store; identifying, using the current value and metadata specifying relationships among at least some of the data objects, an actor authorized to perform a workflow task for the first data object; generating a GUI through which the actor can provide the input that the workflow task is to be performed; and in response to receiving, from the actor and through the GUI, input specifying that the workflow task is to be performed: performing the workflow task; and updating the current workflow state of the first FSM to a second workflow state.

Abstract: A data processing system for identifying one or more portions of executable logic that are executed in processing one or more data items that are each associated with a given value of a key by accessing the specification that represents the executable logic; and generating a log record for the given value of the key, the generating including: for each of the one or more of the data items associated with the given value of the key: identifying a given state of the specification that is maintained for the given value of the key associated with that data item; processing that data item including executing, on that data item, executable logic that are specified in the identified given state of the specification; and generating the log record specifying the execution of those one or more portions of the executable logic for that given value of the key.

Abstract: Techniques for discovering semantic meaning of data in fields included in one or more data sets, the method including: a first field having a previously-assigned label that indicates a semantic meaning of the first field; identifying a set of one or more candidate labels, for potential assignment to the first field instead of the previously-assigned label; evaluating, using a previously-determined label score and a first candidate label score, whether to assign a first candidate label to the first field, the evaluating comprising: when the first candidate label score is at least a first threshold amount greater than a previously-determined label score, presenting the first candidate label to a user by generating an interface through which the user can provide input indicating whether to assign the first candidate label to the first field instead of the previously-determined label.

Abstract: Techniques for using finite state machines (FSMs) to implement workflows in a data processing system comprising at least one data store storing data objects and a workflow management system (WMS). The WMS is configured to perform: determining a current value of an attribute of a first data object by accessing the current value in the at least one data store; identifying, using the current value and metadata specifying relationships among at least some of the data objects, an actor authorized to perform a workflow task for the first data object; generating a GUI through which the actor can provide the input that the workflow task is to be performed; and in response to receiving, from the actor and through the GUI, input specifying that the workflow task is to be performed: performing the workflow task; and updating the current workflow state of the first FSM to a second workflow state.

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: 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 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: Techniques for generating a dataflow graph include generating a first dataflow graph with a plurality of first nodes representing first computer operations in processing data, with at least one of the first computer operations being a declarative operation that specifies one or more characteristics of one or more results of processing of data, and transforming the first dataflow graph into a second dataflow graph for processing data in accordance with the first computer operations, the second dataflow graph including a plurality of second nodes representing second computer operations, with at least one of the second nodes representing one or more imperative operations that implement the logic specified by the declarative operation, where the one or more imperative operations are unrepresented by the first nodes in the first dataflow graph.

Abstract: A method performed by a computer system including: accessing a specification that specifies a plurality of modules to be implemented by the computer program for processing the one or more values of the one or more fields in the structured data item; transforming the specification into the computer program that implements the plurality of modules, wherein the transforming includes: for each of one or more first modules of the plurality of modules: identifying one or more second modules of the plurality of modules that each receive input that is at least partly based on an output of the first module; and formatting an output data format of the first module such that the first module outputs only one or more values of one or more fields of the structured data item.

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.