Abstract: Systems and methods for determining ownership of cloud computing resources are disclosed. An example method includes identifying a first active table whose ownership is not defined in a central repository, determining, based on a write log associated with the first active table, a first timestamp and a first internet address associated with a most recent write to the first active table, determining, based on the first internet address, whether or not the first timestamp is more recent than a creation time of a first cloud computing instance corresponding to the most recent write, and in response to the first timestamp being more recent than the creation time of the first cloud computing instance, identifying a first owner of the first active table based on a first cost allocation tag associated with the first cloud computing instance.

Abstract: There is provided a method for reading out a pixel array in an image sensor. The method includes determining a readout sequence based on a row offset, the row offset indicating a first set of rows and a second set of rows sharing a first output line and a second output line, reading, in a first row from the first set of rows of the pixel array, pixels corresponding to a first floating diffusion (FD) node from the first output line, and reading, in a second row from the first set of rows of the pixel array, pixels corresponding to a second floating diffusion (FD) node from the second output line at the plurality of time intervals, the first row and the second row from the first set of rows are incremented through the first set of rows based on the determined readout sequence.

Abstract: Disclosed is a method of performing readout of pixel array that includes reading, when a first condition is detected, pixels of a first half and a second half of FD nodes sharing a common Vout line in monotonically increasing and decreasing row orders, respectively. When a second condition is detected, pixels of (Gr, R) rows and (B, Gb) rows connected to different Vout lines are read in opposite respective directions in a first phase and a second phase, respectively. When a third condition is detected, first and second color pixels from first and second Vout lines are read out at each readout instance. When a fourth condition is detected, pixels are read out from even rows of a first half of rows, odd rows of a second half of rows, odd rows of the first half of rows, and even rows of the second half of rows.

Abstract: A method for performing readout of a pixel array associated with an image sensor may include for a first exposure row and one or more additional exposure rows of the pixel array, detecting, using processing circuitry, completion of exposure operations of the first exposure row and the one or more additional exposure rows, and reading, using the processing circuitry, pixel values from sets of columns associated with sets of analog to digital converters (ADCs) corresponding to the first exposure row and the one or more additional exposure rows.

Abstract: Systems and methods for updating a data catalog in real-time with changes to metadata are disclosed. An example method may be performed by one or more processors of a system and include detecting changes to metadata in a metadata store, generating an event queue indicating a plurality of change events associated with system objects based on the changes, each of the plurality of change events indicating a number of event attributes and a system object associated with the change event, identifying recent events among the plurality of change events, identifying relevant events among the recent events, extracting unique identifiers from the relevant events, identifying priority objects among the system objects, obtaining, from the metadata store, current metadata for each of the priority objects, and updating information associated with the priority objects in a data catalog, the updating occurring in real-time with the changes to the metadata in the metadata store.

Abstract: Systems and methods for automated techniques that generate queryable database table ownership attribution information in real-time. In addition to generating ownership attribution information, system and methods provide a novel framework for creating bi-partite graphs and generating insightful graph data.

Abstract: Incoming data requests from the perspective of the data lake, are gathered and analyzed to determine the usage of the data. Using the perspective of the data lake avoids the technical challenge of analyzing data usage by different computation points, which are at different locations, perform hard-to-track different operations, and are often reachable only through complicated access protocols. Another technical challenge of mapping between an object path and a table path is solved by generating object path datasets and table path datasets at different levels of abstractions. A comparison is performed, iteratively, from a lower level of granularity and the granularity is increased in the progressive steps. Matches from iterations are unionized to generate a final matching data. Observability metrics are generated using final matching data and are used to perform downstream operations such as controlling data table access, moving data tables to cold storage, decommissioning unused pipelines, etc.

Abstract: Systems and methods for automated techniques that generate queryable database table ownership attribution information in real-time. In addition to generating ownership attribution information, system and methods provide a novel framework for creating bi-partite graphs and generating insightful graph data.

Abstract: Systems and methods for updating a data catalog in real-time with changes to metadata are disclosed. An example method may be performed by one or more processors of a system and include detecting changes to metadata in a metadata store, generating an event queue indicating a plurality of change events associated with system objects based on the changes, each of the plurality of change events indicating a number of event attributes and a system object associated with the change event, identifying recent events among the plurality of change events, identifying relevant events among the recent events, extracting unique identifiers from the relevant events, identifying priority objects among the system objects, obtaining, from the metadata store, current metadata for each of the priority objects, and updating information associated with the priority objects in a data catalog, the updating occurring in real-time with the changes to the metadata in the metadata store.