Systems and methods are disclosed for acquiring various data from multiple sources that correct, format,
package, and distribute data to end users. A
data warehouse entity retrieves data acquired through a download interface in a format specified by the vendor, converts data into a standard or predefined
data format, packages the standard format data, and distributes data to end users through a distribution interface. An incremental approach for updating data facilitates corrections to provide accurate reliable data. The
data warehouse is populated with data from various vendors via a
database containing data by downloading
data file(s) from the individual vendor sources,
parsing the
data file(s) to a standard format, deleting duplicate data, and updating data if corrections or new data are identified. Newly formatted data files containing corrections and new data are exported to the location in which that vendor's data is located, checked to maintain quality, packaged into a single compressed file, tested in a test
database system, and distributed to end users. The
data warehouse is automated by a
software application that runs jobs from a
queue in operating phases. The
software application and
job queue prioritizes the operations and creates a controlled flow of data into and out of the data warehouse. Process operations are prioritized for integrity and
throughput.