Abstract: A computer system provides transaction-level data retention policy inheritance. The system may perform operations including storing a first dataset comprising a plurality of transactions, each of the plurality of transactions comprising one or more data items; receiving a first transaction to the first dataset, the first transaction comprising one or more data items; determining a first retention policy for the first transaction; and storing the first retention policy with the first transaction. The system may further perform operations including calculating a deletion date for the first transaction based on the first retention policy; and storing the deletion date with the first transaction in the first dataset.

Abstract: Systems and methods for lineage-aware data retention are provided. An example method includes receiving information of a committed transaction. The committed transaction is configured to add or change data to a dataset. The example method further includes receiving one or more lineages for the committed transaction, determining one or more parent transactions based at least in part on the one or more lineages, obtaining one or more parent retention dates that correspond to the one or more parent transactions respectively, and determining a transaction retention date for the committed transaction based at least in part on the one or more parent retention dates.

Abstract: A system for automated processing and analysis of audio files for large data sets in a cloud environment. A unified analytic environment can integrate audio machine learning models for processing and analysis with a knowledge management system, including graph presentations of tracked entities, linked to audio files and/or associated translations and transcripts. Entities within such data can be searched or filtered and proposed for tracking, or identified as tracked objects. These features can allow triage and prioritization of audio files for analysis. User interfaces can facilitate feedback on transcription and translation outputs, thereby improving present outputs and future inputs and outputs. Entities speaking or referred to can be found, tagged, and distinguished in audio files (e.g., using speaker identification in audio files, text searching in transcripts, etc.

Abstract: Systems and methods for lineage-aware data retention are provided. An example method includes receiving information of a committed transaction. The committed transaction is configured to add or change data to a dataset. The example method further includes receiving one or more lineages for the committed transaction, determining one or more parent transactions based at least in part on the one or more lineages, obtaining one or more parent retention dates that correspond to the one or more parent transactions respectively, and determining a transaction retention date for the committed transaction based at least in part on the one or more parent retention dates.

Abstract: A computer system provides transaction-level data retention policy inheritance. The system may perform operations including storing a first dataset comprising a plurality of transactions, each of the plurality of transactions comprising one or more data items; receiving a first transaction to the first dataset, the first transaction comprising one or more data items; determining a first retention policy for the first transaction; and storing the first retention policy with the first transaction. The system may further perform operations including calculating a deletion date for the first transaction based on the first retention policy; and storing the deletion date with the first transaction in the first dataset.

Abstract: A computer system provides transaction-level data retention policy inheritance. The system may perform operations including storing a first dataset comprising a plurality of transactions, each of the plurality of transactions comprising one or more data items; receiving a first transaction to the first dataset, the first transaction comprising one or more data items; determining a first retention policy for the first transaction; and storing the first retention policy with the first transaction. The system may further perform operations including calculating a deletion date for the first transaction based on the first retention policy; and storing the deletion date with the first transaction in the first dataset.

Abstract: Systems and methods for lineage-aware data retention are provided. An example method includes receiving information of a committed transaction. The committed transaction is configured to add or change data to a dataset. The example method further includes receiving one or more lineages for the committed transaction, determining one or more parent transactions based at least in part on the one or more lineages, obtaining one or more parent retention dates that correspond to the one or more parent transactions respectively, and determining a transaction retention date for the committed transaction based at least in part on the one or more parent retention dates.

Abstract: A computer system provides transaction-level data retention policy inheritance. The system may perform operations including storing a first dataset comprising a plurality of transactions, each of the plurality of transactions comprising one or more data items; receiving a first transaction to the first dataset, the first transaction comprising one or more data items; determining a first retention policy for the first transaction; and storing the first retention policy with the first transaction. The system may further perform operations including calculating a deletion date for the first transaction based on the first retention policy; and storing the deletion date with the first transaction in the first dataset.