Method and apparatus for implementing a data book application module

1. A method for implementing a data book application module by utilizing one or more processors and one or more memories, the method comprising:

providing a data factory that includes a data book application;

identifying an application that needs to be scanned through the data factory utilizing the data book application;

receiving inventories of all servers and databases associated with the data factory;

scanning the servers and databases for receiving inventories of schema associated with the application, the schema containing tables and the tables containing columns;

applying artificial intelligence and/or machine learning routines and matching algorithms for matching contents of columns to predefined logical terms;

converting the contents of columns into taxonomies associated with the predefined logical terms;

matching the taxonomies with the corresponding predefined logical terms;

assigning a probability of accuracy value to the matched terms; and

populating a data catalog with the matched terms when the assigned probability of accuracy value satisfies a predetermined threshold value.

2. The method according to claim 1 , further comprising:

receiving a user input via a first icon of a user interface, the first icon corresponding to a glossary icon that allows access to a glossary stored onto the servers and databases, wherein the glossary establishes common terminology across different applications and groups within an organization; and

executing a search to scan the servers and databases for receiving inventories of columns, tables, and schema associated with the application from the glossary.

3. The method according to claim 1 , further comprising:

receiving a user input via a second icon of a user interface, the second icon corresponding to a catalog icon that allows access to a catalog stored onto the servers and databases, the catalog containing a listing of some or all applications within an organization identifying which lines of business use or be responsible for an application; and

scanning the servers and databases for receiving inventories of columns, tables, and schema associated with the application from the catalog.

4. The method according to claim 1 , further comprising:

running the data book application at log in; and

maintaining to run the data book application in the background after log in.

5. The method according to claim 1 , further comprising:

running the data book application from any application on a Windows desktop.

6. The method according to claim 1 , further comprising:

receiving a single keystroke to provide a dialog box where a user can type and select a predefined type of search.

7. The method according to claim 1 , further comprising:

receiving a user input to select a desired web browser to view search results.

8. The method according to claim 1 , further comprising:

applying a globally unique identifier (GUID) mechanism to assign an asset identifier (ID); and

scanning the servers and databases for obtaining inventories of columns for that asset ID within the data factory.

9. The method according to claim 1 , further comprising:

receiving a user input to change search uniform resource locator (URL) to perform target searches.

10. A system for implementing a data book application module, the system comprising:

a data factory that includes a data book application; and

a processor coupled to the data factory via a communication network, wherein the processor is configured to:

identify an application that needs to be scanned through the data factory utilizing the data book application;

receive inventories of all servers and databases associated with the data factory;

scan the servers and databases for receiving inventories of schema associated with the application, the schema containing tables and the tables containing columns;

apply artificial intelligence and/or machine learning routines and matching algorithms for matching contents of columns to predefined logical terms;

convert the contents of columns into taxonomies associated with the predefined logical terms;

match the taxonomies with the corresponding predefined logical terms;

assign a probability of accuracy value to the matched terms; and

populate a data catalog with the matched terms when the assigned probability of accuracy value satisfies a predetermined threshold value.

11. The system according to claim 10 , wherein the processor is further configured to:

receive a user input via a first icon of a user interface, the first icon corresponding to a glossary icon that allows access to a glossary stored onto the servers and databases, wherein the glossary establishes common terminology across different applications and groups within an organization; and

execute a search to scan the servers and databases for receiving inventories of columns, tables, and schema associated with the application from the glossary.

12. The system according to claim 10 , wherein the processor is further configured to:

receive a user input via a second icon of a user interface, the second icon corresponding to a catalog icon that allows access to a catalog stored onto the servers and databases, the catalog containing a listing of some or all applications within an organization identifying which lines of business use or be responsible for an application; and

scan the servers and databases for receiving inventories of columns, tables, and schema associated with the application from the catalog.

13. The system according to claim 10 , wherein the processor is further configured to:

run the data book application at log in; and

maintain running of the data book application in the background after log in.

14. The system according to claim 10 , wherein the processor is further configured to:

run the data book application from any application on a Windows desktop.

15. The system according to claim 10 , wherein the processor is further configured to:

receive a single keystroke to provide a dialog box where a user can type and select a predefined type of search.

16. The system according to claim 10 , wherein the processor is further configured to:

apply a globally unique identifier (GUID) mechanism to assign an asset identifier (ID); and

scan the servers and databases for obtaining inventories of columns for that asset ID within the data factory.

17. The system according to claim 10 , wherein the processor is further configured to:

receive a user input to change search uniform resource locator (URL) to perform target searches.

18. A non-transitory computer readable medium configured to store instructions for implementing a data book application module, wherein, when executed, the instructions cause a processor to perform the following:

accessing a data factory that includes a data book application;

identifying an application that needs to be scanned through the data factory utilizing the data book application;

receiving inventories of all servers and databases associated with the data factory;

scanning the servers and databases for receiving inventories of schema associated with the application, the schema containing tables and the tables containing columns;

applying artificial intelligence and/or machine learning routines and matching algorithms for matching contents of columns to predefined logical terms;

converting the contents of columns into taxonomies associated with the predefined logical terms;

matching the taxonomies with the corresponding predefined logical terms;

assigning a probability of accuracy value to the matched terms;

populating a data catalog with the matched terms when the assigned probability of accuracy value satisfies a predetermined threshold value.

19. The non-transitory computer readable medium according to claim 18 , wherein the instructions, when executed, further cause the processor to perform the following:

receiving a user input via a first icon of a user interface, the first icon corresponding to a glossary icon that allows access to a glossary stored onto the servers and databases, wherein the glossary establishes common terminology across different applications and groups within an organization; and

executing a search to scan the servers and databases for receiving inventories of columns, tables, and schema associated with the application from the glossary.

20. The non-transitory computer readable medium according to claim 18 , wherein the instructions, when executed, further cause the processor to perform the following:

receiving a user input via a second icon of a user interface, the second icon corresponding to a catalog icon that allows access to a catalog stored onto the servers and databases, the catalog containing a listing of some or all applications within an organization identifying which lines of business use or be responsible for an application; and

scanning the servers and databases for receiving inventories of columns, tables, and schema associated with the application from the catalog.