Abstract: Systems and methods for generating deployment databases based on preloaded data from heterogeneous sources are disclosed herein. The system may receive first structured data. The system may extract first data of a first format and second data of a second format. The system may determine that the first data has a first update rate. The system may determine that the second data has a second update rate. The system may preload the first data by retrieving a first identifier and by storing a first preloaded representation of a first parent dataset for the first data. The system may receive a first request for a deployment database. The system, based on the first request, may retrieve the first preloaded representation. The system may generate the deployment database.

Abstract: Systems and methods for generating deployment databases based on preloaded data from heterogeneous sources are disclosed herein. The system may receive first structured data. The system may extract first data of a first format and second data of a second format. The system may determine that the first data has a first update rate. The system may determine that the second data has a second update rate. The system may preload the first data by retrieving a first identifier and by storing a first preloaded representation of a first parent dataset for the first data. The system may receive a first request for a deployment database. The system, based on the first request, may retrieve the first preloaded representation. The system may generate the deployment database.

Abstract: The disclosed technology relates to analyzing report infrastructure health to determine based on lineage the downstream tables and reports that may be impacted by an infrastructure failure to thereby improve reporting accuracy. An exemplary report management device may extract database table names identified in SQL queries. The SQL queries and report metadata are analyzed to identify driver and required tables, respectively. The database table names are stored in a table inventory and the database table names associated with one of the driver or required tables is marked. For each of the SQL queries comprising a target table, elements and source table names are extracted for source tables of the target table and an association is stored. Lineage data is generated based on the association when the report was not executed successfully. A graphical representation of the report lineage including a failed table and associated source table(s) is then output.

Abstract: The disclosed technology relates to analyzing report infrastructure health to determine based on lineage the downstream tables and reports that may be impacted by an infrastructure failure to thereby improve reporting accuracy. An exemplary report management device may extract database table names identified in SQL queries. The SQL queries and report metadata are analyzed to identify driver and required tables, respectively. The database table names are stored in a table inventory and the database table names associated with one of the driver or required tables is marked. For each of the SQL queries comprising a target table, elements and source table names are extracted for source tables of the target table and an association is stored. Lineage data is generated based on the association when the report was not executed successfully. A graphical representation of the report lineage including a failed table and associated source table(s) is then output.