Data relationships storage platform

• US 10,599,684 B2
• Filed: 01/23/2017
• Issued: 03/24/2020
• Est. Priority Date: 08/22/2012
• Status: Active Grant

• Current Assignee: Bitvore Corporation
• Original Assignee: Bitvore Corporation
• Inventors: Bolcer, Greg, Chaney, Alan, Cover, Clay
• Primary Examiner(s): Corrielus, Jean M
• Application Number:
  US15/412,735
• Publication Number:
  US 20170132310A1
• Time in Patent Office: 1,156 Days
• Field of Search: 707749, 707736, 707692
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/25 Integrating or interfacing systems involving database management systems
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06F 16/288 Entity relationship models
• CPC Class Codes: G06F 16/95 Retrieval from the web
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 7/08 Sorting, i.e. grouping record carriers in numerical or other ordered sequence according to the classification of at least some of the information they carry by merging two or more sets of carriers in ordered sequence G06F7/16

Abstract

A data relationships storage platform for analysis of one or more data sources is described herein. A data processing system may be communicatively coupled to one or more data sources and one or more big-data databases. One or more collectors may collect data pieces from the one or more data sources. One or more analyzer may analyze the collected data pieces to determine whether one or more relationships exist between the collected data pieces. The analysis results in one or more data globs that include one or more of the data pieces and relationship information, such as tags. The tagged data globs may be communicated to and stored in one or more big-data databases.

Claims

1. A non-transitory computer-readable medium storing computer-readable instructions, the instructions, when executed by a processor of a terminal device, produce a data processing system, comprising:

a collector operable to collect data pieces from one or more data sources;

an analyzer operable to determine relationship information among the data pieces, the relationship information comprising a degree of correlation between two or more data pieces;

a fingerprinting system operable to produce a fingerprint, wherein the fingerprint comprises a list of fields mapped to one or more tags related to a data piece of the collected data pieces; and

a data relationships storage platform operable to decentralize a storage of the analyzed data pieces by distributing a data glob to one or more big-data databases for storage, the data glob comprising one or more of the data pieces, one or more fingerprints and the relationship information, wherein the distributed data glob is modifiable and searchable.

2. The data processing system of claim 1, wherein the analyzer is operable to use an intensity algorithm to determine the degree of correlation among the data pieces.

3. The data processing system of claim 1, wherein the data relationships storage platform is operable to use one or more data services to manage the communication of the data globs to the big-data databases.

4. The data processing system of claim 1, wherein the collector is operable to de-normalize the data pieces.

5. The data processing system of claim 1, wherein the analyzer is operable to track the number of data pieces received and the number of data globs created.

6. The data processing system of claim 1, wherein the analyzer is operable to add one or more tags to the data pieces, wherein the tags are searchable in the big-data databases.

7. The data processing system of claim 1, wherein each data piece represents a message with one or more of the following fields:

source, sender, timestamp, subject, intended recipients, actual recipients and metadata.

8. The data processing system of claim 1, wherein each data piece is associated with one or more profiles, where each profile is one of a sender, a recipient and an observer.

9. The data processing system of claim 1, wherein the data processing system is programmed to identify related source-profiles in order to determine a single profile for each unique person.

10. A data relationships storage platform, comprising:

a fingerprinting system operable to produce a fingerprint, wherein the fingerprint comprises a list of fields mapped to one or more tags related to a data piece of the collected data pieces; and

a big-data database communicatively coupled to a data processing system that is communicatively coupled to one or more data sources,

wherein the big-data database decentralizes a storage of one or more data globs received from the data processing system,

wherein the data globs comprise data pieces from the one or more data sources, one or more fingerprints and relationship information, the relationship information correlating how two or more of the data pieces relate to each other,

wherein the relationship information is generated by the data processing system, and

wherein the one or more stored data globs are modifiable and searchable.

11. The data relationships storage platform of claim 10, wherein the big-data database keys, indexes and sorts the data globs when the big-data database stores the data globs.

12. The data relationships storage platform of claim 10, wherein the big-data database tags the data globs when the data globs are stored, and wherein the big-data database is operable to search and compare the stored data globs.

13. The data relationships storage platform of claim 10, wherein the big-data database is operable to be searched by a user, where the search is based on one or more of the following:

content of data pieces in data globs, tags, and relationships.

14. The data relationships storage platform of claim 10, wherein the big-data database uses the fingerprinting system to ensure that duplicate copies of the same data piece are not stored in the big-data databases.

15. The data relationships storage platform of claim 10, wherein the big-data database includes one or more of the following big data tools:

Hadoop, Hbase or Elastic Search.

16. The data relationships storage platform of claim 10, wherein the big-data database communicates with one or more of the following:

a query and analysis module;

a big data analytics module; and

/or

one or more custom applications that allow users to interface with the big-data database.

17. The data relationships storage platform of claim 10, wherein the relationship information comprises one or more editable tags, each tag is designated as being visible to a single user, visible to several users, or visible throughout a domain.

18. The data relationships storage platform of claim 10, wherein the big-data database organizes stored data globs by row keys.

19. The data relationships storage platform of claim 10, wherein the big-data database analyzes the data globs to determine one or more sentiment scores.

20. The data relationships storage platform of claim 10, wherein analyzing the collected data pieces includes de-duplicating collected data pieces according to a level of similarity the collected data pieces have with stored information associated with data globs in the big-data database.