Granted Patent B2

US 12,339,804 · App. 18/462,481 · Granted Jun 24, 2025

Inventors: Shai Rubin (Binyamina, IL); Yoav Alroy (Ramat Gan, IL); Liron Sarel (Kfar Saba, IL); Eliyahu Shua (Ben Shemen, IL); Shahar Meir (Rishon Lezion, IL)

Assignee: Own Data Company, Ltd.

G06F16/113

Abstract

Claims (50)

1. A system, comprising:

a processor configured to:

search a datastore to find records including a given field with a given value, the found records defining a dataset for consideration for archive having an aggregate data size;

find an aggregate data size of a group of records not included in the dataset for consideration for archive;

render to a display indications of: the aggregate data size of the dataset for consideration for archive; and the aggregate data size of the group of records not included in the dataset for consideration for archive;

receive a user selection to archive at least part of the dataset; and

purge the at least part of the dataset from the datastore and archive the at least part of the dataset into archive storage responsively to receiving the user selection; and

a memory configured to store data used by the processor.

2. The system according to claim 1 , wherein the processor is configured to repeat the search of the datastore one or more times based on new search criteria to further split the found dataset or provide a new dataset for consideration for archive.

3. The system according to claim 1 , wherein the processor is configured to:

find a data size of the dataset for consideration for archive for different time periods and a data size of the group of records not included in the dataset for consideration for archive for the different time periods; and

render to the display a histogram indicating the data size of the dataset for consideration for archive by the different time periods and the data size of the group of records not included in the dataset for consideration for archive by the different time periods.

4. The system according to claim 1 , wherein the processor is configured to divide the datastore into datasets based on any one or more of the following: an enumerated field; a numeric field; a free text string; data origin type; record status; and time period.

5. The system according to claim 4 , wherein the processor is configured to divide the datastore into datasets based on the given value of, and/or an average of, a numeric field.

6. The system according to claim 1 , wherein the processor is configured to search records of the datastore having different values of at least one field to find a maximum size dataset being defined by the records including the given field with the given value and defining the dataset for consideration for archive.

7. The system according to claim 6 , wherein the processor is configured to:

divide the maximum size dataset by different time periods to find a data size of the maximum size dataset for the different time periods; and

render to the display a histogram indicating the data size of the maximum size dataset by the different time periods.

8. The system according to claim 1 , wherein the processor is configured to:

search records of the datastore having different values and different fields yielding a plurality of datasets for respective one of the fields with respective ones of the values; and

select at least two largest data size ones of the datasets for consideration for archive.

9. The system according to claim 8 , wherein the processor is configured to:

divide the largest data size datasets by different time periods to find respective data sizes of the largest data size datasets for the different time periods; and

render to the display histograms for each of the largest data size datasets indicating the respective data sizes of the largest data size datasets by the different time periods.

10. The system according to claim 8 , wherein the processor is configured to:

combine the largest data size datasets and find data sizes of the combined largest data size datasets for different time periods; and

render to the display a histogram indicating the data size of the combined largest data size datasets by the different time periods.

11. A method, comprising:

searching a datastore to find records including a given field with a given value, the found records defining a dataset for consideration for archive having an aggregate data size;

finding an aggregate data size of a group of records not included in the dataset for consideration for archive;

rendering to a display indications of: the aggregate data size of the dataset for consideration for archive; and the aggregate data size of the group of records not included in the dataset for consideration for archive;

receiving a user selection to archive at least part of the dataset; and

purging the at least part of the dataset from the datastore and archive the at least part of the dataset into archive storage responsively to receiving the user selection.

12. The method according to claim 11 , further comprising repeating the search of the datastore one or more times based on new search criteria to further split the found dataset or provide a new dataset for consideration for archive.

13. The method according to claim 11 , wherein:

the finding includes finding a data size of the dataset for consideration for archive for different time periods and a data size of the group of records not included in the dataset for consideration for archive for the different time periods; and

the rendering includes rendering to the display a histogram indicating the data size of the dataset for consideration for archive by the different time periods and the data size of the group of records not included in the dataset for consideration for archive by the different time periods.

14. The method according to claim 11 , further comprising dividing the datastore into datasets based on any one or more of the following: an enumerated field; a numeric field; a free text string; data origin type; record status; and time period.

15. The method according to claim 14 , wherein the dividing includes dividing the datastore into datasets based on the given value of, and/or an average of, a numeric field.

16. The method according to claim 11 , wherein the searching includes searching records of the datastore having different values of at least one field to find a maximum size dataset being defined by the records including the given field with the given value and defining the dataset for consideration for archive.

17. The method according to claim 16 , further comprising dividing the maximum size dataset by different time periods to find a data size of the maximum size dataset for the different time periods, wherein the rendering includes rendering to the display a histogram indicating the data size of the maximum size dataset by the different time periods.

18. The method according to claim 11 , wherein the searching includes searching records of the datastore having different values and different fields yielding a plurality of datasets for respective one of the fields with respective ones of the values, the method further comprising selecting at least two largest data size ones of the datasets for consideration for archive.

19. The method according to claim 18 , further comprising dividing the largest data size datasets by different time periods to find respective data sizes of the largest data size datasets for the different time periods, wherein the rendering includes rendering to the display histograms for each of the largest data size datasets indicating the respective data sizes of the largest data size datasets by the different time periods.

20. The method according to claim 18 , further comprising combining the largest data size datasets and find data sizes of the combined largest data size datasets for different time periods, wherein the rendering includes rendering to the display a histogram indicating the data size of the combined largest data size datasets by the different time periods.

21. A software product, comprising a non-transient computer-readable medium in which program instructions are stored, which instructions, when read by a central processing unit (CPU), cause the CPU to:

search a datastore to find records including a given field with a given value, the found records defining a dataset for consideration for archive having an aggregate data size;

find an aggregate data size of a group of records not included in the dataset for consideration for archive;

render to a display indications of: the aggregate data size of the dataset for consideration for archive; and the aggregate data size of the group of records not included in the dataset for consideration for archive;

receive a user selection to archive at least part of the dataset; and

purge the at least part of the dataset from the datastore and archive the at least part of the dataset into archive storage responsively to receiving the user selection.

Assignments (4)

Continuity (1)

References Cited (27)