WO2013150507A2 - Enterprise level data element review systems and methodologies - Google Patents
Enterprise level data element review systems and methodologies Download PDFInfo
- Publication number
- WO2013150507A2 WO2013150507A2 PCT/IL2012/000147 IL2012000147W WO2013150507A2 WO 2013150507 A2 WO2013150507 A2 WO 2013150507A2 IL 2012000147 W IL2012000147 W IL 2012000147W WO 2013150507 A2 WO2013150507 A2 WO 2013150507A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- data
- data elements
- multiplicity
- metadata
- collect
- Prior art date
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Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/7844—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using original textual content or text extracted from visual content or transcript of audio data
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/1734—Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
Definitions
- the present invention relates generally to enterprise level data element systems and methodologies.
- the present invention seeks to provide enterprise level data element review systems and methodologies.
- an enterprise level data element review system including a data access event collection subsystem operative to collect data access event notifications relating to ones of a multiplicity of data elements, a data element metadata modification subassembly receiving an output from the data access event collection subsystem and providing a script indicating which data elements have had a metadata modification over a given period of time, and a data element dancer operative to collect at least one of metadata and access permissions for a selected plurality of data elements which is substantially less than the multiplicity of data elements and is selected on the basis of the script.
- an enterprise level data element review system including a data access event collection subsystem operative to collect data access event notifications relating to ones of a multiplicity of data elements, a data element modified metadata collector which is operative to collect at least one of metadata and access permissions for a plurality of data elements which is substantially less than the multiplicity of data elements, and a data element crawler operative to crawl over the multiplicity of data elements thereby to collect at least one of metadata and access permissions for the multiplicity of data elements.
- an enterprise level data element review system including a data access event collection failure monitoring subsystem operative to ascertain failure to collect data access events and to provide a failure notification, and a data element crawler operative in response to receipt of the failure notification to crawl over the multiplicity of data elements thereby to collect at least one of metadata and access permissions for the multiplicity of data elements.
- a method for enterprise level data element review including collecting data access event notifications relating to ones of a multiplicity of data elements, providing a script indicating which data elements have had a metadata modification over a given period of time, and collecting at least one of metadata and access permissions for a selected plurality of data elements which is substantially less than the multiplicity of data elements and is selected on the basis of the script.
- a method for enterprise level data element review including collecting data access event notifications relating to ones of a multiplicity of data elements collecting at least one of metadata and access permissions for a plurality of data elements which is substantially less than the multiplicity of data elements, and crawling over the multiplicity of data elements thereby to collect at least one of metadata and access permissions for the multiplicity of data elements.
- a method for enterprise level data element review including ascertaining failure to collect data access events, providing a failure notification, and in response to receipt of the failure notification, crawling over the multiplicity of data elements thereby to collect at least one of metadata and access permissions for the multiplicity of data elements.
- FIG. 1 is a simplified illustration of an enterprise level data element review system constructed and operative in accordance with a preferred embodiment of the invention
- FIG. 2 is an alternative simplified illustration of the enterprise level data element review system of Fig. 1;
- Fig. 3 is a simplified block diagram illustration of the system and methodology of Fig. 1;
- Fig. 4 is a simplified block diagram illustration of the operation of the system of Fig. 1;
- Fig. 5 is a simplified block diagram illustration of another aspect of the use of the system of Fig. 1.
- Fig. 1 is a simplified illustration of an enterprise level data element review system constructed and operative in accordance with a preferred embodiment of the invention.
- the system of Fig. 1 is preferably suitable for operating in an enterprise computer network which includes, inter alia, multiple disparate servers and clients storing data elements such as files and folders.
- the system of Fig. 1 preferably includes a data access event collection subsystem operative to collect data access event notifications relating to ones of a multiplicity of data elements, a data element metadata modification subassembly receiving an output from the data access event collection subsystem and providing a script indicating which data elements have had a metadata modification over a given period of time, and a data element dancer operative to collect at least one of metadata and access permissions for a selected plurality of data elements which is substantially less than the multiplicity of data elements and is selected on the basis of the script.
- the system resides on a server 100 which is connected to a computer network 102 to which are connected a plurality of computer servers 104 and storage devices 106, and preferably continuously operates in the background to collect data access event notifications relating to the multiplicity of data elements stored on servers 104 and storage devices 106.
- an administrator of the system wishes to utilize the system to collect metadata of folders that were modified during a particular period of time, such as between 8AM - 12PM on January 5, 2012.
- the system provides the administrator with a script 120 which comprises a list of folders which have been accessed during the period of interest. Thereafter, the administrator instructs the system to collect metadata of the folders which appear in the script.
- continuous collection of data access event notifications by the system is operative to enable efficient maintaining of a generally up-to-date collection of metadata of all data elements by periodically selectively collecting metadata only of data elements which are known to have been accessed during a particular period of time. It is appreciated that the time and computer resources needed to periodically selectively collect metadata only from data elements which are known to have been accessed during a particular period of time is substantially less than the time needed to collect metadata from all data elements.
- a data element dancer 150 begins to dance through a plurality of data elements 152 at 8:27 AM. As clearly shown in the illustration of option A, as dancer 150 dances through data elements 152, he lands on only a subset of data elements 152 which correspond to data elements listed in script 120, and completes dancing over data elements 152 at 8:30 AM.
- a data element crawler 160 begins to crawl through a plurality of data elements 162 at 8:27 AM., however, as crawler 160 crawls through data elements 162, he lands on every one of data elements 162, thereby completing to crawl over data elements 162 at 8:47 AM., significantly later than data element dancer 150.
- the system also comprises a data access event collection failure monitoring subsystem operative to ascertain failure to collect data access events and to provide a corresponding failure notification to a data element crawler which is operative in response to receipt of the failure notification to crawl over the multiplicity of data elements stored on servers 104 and storage devices 106 and to thereby collect at least one of metadata and access permissions for the multiplicity of data elements.
- a data access event collection failure monitoring subsystem operative to ascertain failure to collect data access events and to provide a corresponding failure notification to a data element crawler which is operative in response to receipt of the failure notification to crawl over the multiplicity of data elements stored on servers 104 and storage devices 106 and to thereby collect at least one of metadata and access permissions for the multiplicity of data elements.
- FIG. 2 is an alternative simplified illustration of the enterprise level data element review system of Fig. 1.
- Fig. 2 further illustrates the particular feature of the present invention, whereby initially ascertaining which particular elements of a group need to be treated and thereafter selectively treating only those particular elements is substantially more efficient than treating all the elements of the group.
- a first pesticide applicator 200 begins to walk through the rows of a planted field 202 at 6:00 AM.
- pesticide applicator 200 walks through field 202, he applies pesticide only to plants which have been identified as being infested, and completes walking through the entire filed at 6:30 AM.
- a second pesticide applicator 210 begins to walk through the rows of a planted field 212 at 6:00 AM., however as second pesticide applicator 210 walks through field 212 he applies pesticide to every one of the plants of field 212 regardless of whether they are infested or not, thereby completing to walk through the field at 7:15 AM, significantly later than first pesticide applicator 200.
- FIG. 3 is a simplified block diagram illustration of the system of Fig. 1, to Fig. 4, which is a simplified block diagram illustration of the operation of the system of Fig. 1, and to Fig. 5, which is a simplified block diagram illustration of another aspect of the use of the system of Fig. 1.
- the enterprise level data element review system 300 comprises a data access event collection subsystem 302 operative to collect data access event notifications relating to ones of a multiplicity of data elements and to communicate with a data element metadata modification subassembly 304.
- Data element metadata modification subassembly 304 preferably communicates with a data element dancer 306.
- System 300 also includes a data access event collection failure monitoring subsystem 310 operative to ascertain failure of data access event collection subsystem 302 to collect data access events and to provide a corresponding failure notification to a data element crawler 312 which is operative in response to receipt of the failure notification to crawl over the multiplicity of data elements stored in the enterprise and to thereby collect at least one of metadata and access permissions for the multiplicity of data elements.
- a data access event collection failure monitoring subsystem 310 operative to ascertain failure of data access event collection subsystem 302 to collect data access events and to provide a corresponding failure notification to a data element crawler 312 which is operative in response to receipt of the failure notification to crawl over the multiplicity of data elements stored in the enterprise and to thereby collect at least one of metadata and access permissions for the multiplicity of data elements.
- data access event collection subsystem 302 continuously collects data access event notifications relating to ones of a multiplicity of data elements and sends an output to data element metadata modification subassembly 304.
- Data element metadata modification subassembly 304 preferably provides a script indicating which data elements have had a metadata modification over a given period of time to data element dancer 306 which then collects at least one of metadata and access permissions only for the data elements included in the script.
- data access event collection failure monitoring subsystem 310 ascertains failure to collect data access events and provides a failure notification. Responsive to the failure notification, data element crawler 312 preferably crawls over the multiplicity of data elements thereby to collect at least one of metadata and access permissions for the multiplicity of data elements.
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Library & Information Science (AREA)
- Multimedia (AREA)
- Debugging And Monitoring (AREA)
- Computer And Data Communications (AREA)
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP12873556.0A EP2834733A4 (en) | 2012-04-04 | 2012-04-04 | SYSTEMS AND METHODS FOR DATA ELEMENT VERIFICATION AT COMPANY LEVEL |
PCT/IL2012/000147 WO2013150507A2 (en) | 2012-04-04 | 2012-04-04 | Enterprise level data element review systems and methodologies |
IN8750DEN2014 IN2014DN08750A (enrdf_load_stackoverflow) | 2012-04-04 | 2012-04-04 | |
CN201280073615.6A CN104662510B (zh) | 2012-04-04 | 2012-04-04 | 企业级数据元素检查系统和方法 |
CN201711057610.5A CN107657065B (zh) | 2012-04-04 | 2012-04-04 | 包括计算机可读介质的系统和企业级数据元素检查的方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/IL2012/000147 WO2013150507A2 (en) | 2012-04-04 | 2012-04-04 | Enterprise level data element review systems and methodologies |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2013150507A2 true WO2013150507A2 (en) | 2013-10-10 |
WO2013150507A3 WO2013150507A3 (en) | 2015-06-18 |
Family
ID=49301123
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IL2012/000147 WO2013150507A2 (en) | 2012-04-04 | 2012-04-04 | Enterprise level data element review systems and methodologies |
Country Status (4)
Country | Link |
---|---|
EP (1) | EP2834733A4 (enrdf_load_stackoverflow) |
CN (2) | CN104662510B (enrdf_load_stackoverflow) |
IN (1) | IN2014DN08750A (enrdf_load_stackoverflow) |
WO (1) | WO2013150507A2 (enrdf_load_stackoverflow) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10320798B2 (en) | 2013-02-20 | 2019-06-11 | Varonis Systems, Inc. | Systems and methodologies for controlling access to a file system |
Citations (5)
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US7555482B2 (en) | 2005-06-07 | 2009-06-30 | Varonis Systems, Inc. | Automatic detection of abnormal data access activities |
US7653836B1 (en) | 2005-06-10 | 2010-01-26 | American Megatrends, Inc | Logging metadata modifications in a data storage system |
US20110061111A1 (en) | 2009-09-09 | 2011-03-10 | Yakov Faitelson | Access permissions entitlement review |
US20110060916A1 (en) | 2009-09-09 | 2011-03-10 | Yakov Faitelson | Data management utilizing access and content information |
US20110296490A1 (en) | 2010-05-27 | 2011-12-01 | Yakov Faitelson | Automatic removal of global user security groups |
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US20040123183A1 (en) * | 2002-12-23 | 2004-06-24 | Ashutosh Tripathi | Method and apparatus for recovering from a failure in a distributed event notification system |
JP4794130B2 (ja) * | 2004-01-20 | 2011-10-19 | ルネサスエレクトロニクス株式会社 | マスクパターンデータ自動補正方法及びそのプログラム |
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CN101964732B (zh) * | 2010-09-02 | 2012-08-15 | 海信集团有限公司 | 计算丢包率的方法及装置、控制网络传输的方法及装置 |
CN102436556B (zh) * | 2012-01-09 | 2015-03-25 | 国电南瑞科技股份有限公司 | 轨道交通事故反演系统 |
-
2012
- 2012-04-04 IN IN8750DEN2014 patent/IN2014DN08750A/en unknown
- 2012-04-04 EP EP12873556.0A patent/EP2834733A4/en not_active Withdrawn
- 2012-04-04 CN CN201280073615.6A patent/CN104662510B/zh not_active Expired - Fee Related
- 2012-04-04 WO PCT/IL2012/000147 patent/WO2013150507A2/en active Application Filing
- 2012-04-04 CN CN201711057610.5A patent/CN107657065B/zh not_active Expired - Fee Related
Patent Citations (6)
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US7555482B2 (en) | 2005-06-07 | 2009-06-30 | Varonis Systems, Inc. | Automatic detection of abnormal data access activities |
US7606801B2 (en) | 2005-06-07 | 2009-10-20 | Varonis Inc. | Automatic management of storage access control |
US7653836B1 (en) | 2005-06-10 | 2010-01-26 | American Megatrends, Inc | Logging metadata modifications in a data storage system |
US20110061111A1 (en) | 2009-09-09 | 2011-03-10 | Yakov Faitelson | Access permissions entitlement review |
US20110060916A1 (en) | 2009-09-09 | 2011-03-10 | Yakov Faitelson | Data management utilizing access and content information |
US20110296490A1 (en) | 2010-05-27 | 2011-12-01 | Yakov Faitelson | Automatic removal of global user security groups |
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US10320798B2 (en) | 2013-02-20 | 2019-06-11 | Varonis Systems, Inc. | Systems and methodologies for controlling access to a file system |
Also Published As
Publication number | Publication date |
---|---|
CN107657065A (zh) | 2018-02-02 |
EP2834733A4 (en) | 2016-06-22 |
CN104662510A (zh) | 2015-05-27 |
CN107657065B (zh) | 2021-05-25 |
WO2013150507A3 (en) | 2015-06-18 |
CN104662510B (zh) | 2017-11-28 |
EP2834733A2 (en) | 2015-02-11 |
IN2014DN08750A (enrdf_load_stackoverflow) | 2015-05-22 |
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