CN108536865A - Cross-platform big data information intelligent acquisition method - Google Patents

Cross-platform big data information intelligent acquisition method Download PDF

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Publication number
CN108536865A
CN108536865A CN201810364053.XA CN201810364053A CN108536865A CN 108536865 A CN108536865 A CN 108536865A CN 201810364053 A CN201810364053 A CN 201810364053A CN 108536865 A CN108536865 A CN 108536865A
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CN
China
Prior art keywords
data
cross
file
acquisition method
intelligent acquisition
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Pending
Application number
CN201810364053.XA
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Chinese (zh)
Inventor
梁伟坤
李皓
罗鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Kunshan Rong Jie Information Technology Co Ltd
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Kunshan Rong Jie Information Technology Co Ltd
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Priority to CN201810364053.XA priority Critical patent/CN108536865A/en
Publication of CN108536865A publication Critical patent/CN108536865A/en
Pending legal-status Critical Current

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Abstract

The cross-platform big data information intelligent acquisition method of the present invention, includes the following steps:1)Data interaction medium is carried out using document form as with third party system:File configuration is carried out according to different third party systems, while according to different template files;2)Data acquire:The data of the file configured using cloud environment are acquired;3)Data acquisition information is inquired and feedback:Dissection process is carried out according to corresponding rule to the data in file, our systems are entered after data acquisition, our systems are inquired and searched for, while exporting corresponding feedback file to third party system.

Description

Cross-platform big data information intelligent acquisition method
Technical field
The present invention relates to data intelligence processing methods, specifically, it shows a kind of cross-platform big data information intelligent acquisition Method.
Background technology
In the software systems of financial field, many information collections are not from a system, and possible source is multiple and different Third party system, due to technology difference, data format differs, how to realize and quickly carry out multiple third party system information collections Requirements at the higher level are proposed with processing.
Refering to fig. 1, most of data acquisition at this stage is all that different thirds is arranged according to different third party systems Side(Interface)Carry out data transmission, since each system docking mode differs, causes interface various, follow-up maintenance is relatively time-consuming to take Power.
Therefore, it is necessary to provide a kind of cross-platform big data information intelligent acquisition method to solve the above problems.
Invention content
The object of the present invention is to provide a kind of cross-platform big data information intelligent acquisition method feeding devices.
The present invention is achieved through the following technical solutions above-mentioned purpose:
A kind of cross-platform big data information intelligent acquisition method, includes the following steps:
1)Data interaction medium is carried out using document form as with third party system:According to different third party systems, while root File configuration is carried out according to different template files;
2)Data acquire:The data of the file configured using cloud environment are acquired;
3)Data acquisition information is inquired and feedback:Dissection process is carried out according to corresponding rule to the data in file, data are adopted Enter our systems after collection, our systems are inquired and searched for, while exporting corresponding feedback file to third party system.
Further, file format is the file format that can all third parties be handled.
Further, the formats such as file format XLS, CSV or TXT.
Further, feedback file generally defines:Filename, data mode.
Further, data mode P, F or E, wherein:P:It is handling, F:It is completed, E:Mistake.
Further, data acquisition information inquiry and feedback, correlated condition variation, " P "->" F " or " P "->"E"
Further, when data mode is E, misregistration information feeds back to third party system, and carries out follow-up business operation.
Compared with prior art, the present invention applies in large-scale application system so that is adopted with multiple third party system data Collection has the working specification of a unified standard.When acquiring information with third party system, it is really achieved data cross-platform, is adopted in time Collect the purpose of data;Simultaneously because standardization, is greatly reduced post-collection template maintenance cost.Prodigious degree is realized Full Intelligent information acquisition.
Description of the drawings
Fig. 1 is the schematic diagram of existing collecting method.
Fig. 2 is the schematic diagram of the present invention.
Specific implementation mode
Referring to Fig. 2, the present invention shows a kind of cross-platform big data information intelligent acquisition method, include the following steps:
1)Data interaction medium is carried out using document form as with third party system:According to different third party systems, while root File configuration is carried out according to different template files;
2)Data acquire:The data of the file configured using cloud environment are acquired;
3)Data acquisition information is inquired and feedback:Dissection process is carried out according to corresponding rule to the data in file, data are adopted Enter our systems after collection, our systems are inquired and searched for, while exporting corresponding feedback file to third party system.
File format is the file format that can all third parties be handled.
File format is the formats such as XLS, CSV or TXT.
Feedback file generally defines:Filename, data mode.
Data mode be P, F or E, wherein:P:It is handling, F:It is completed, E:Mistake.
Data acquisition information is inquired and feedback, correlated condition variation, " P "->" F " or " P "->"E"
When data mode is E, misregistration information feeds back to third party system, and carries out follow-up business operation.
Compared with prior art, the present invention applies in large-scale application system so that is adopted with multiple third party system data Collection has the working specification of a unified standard.When acquiring information with third party system, it is really achieved data cross-platform, is adopted in time Collect the purpose of data;Simultaneously because standardization, is greatly reduced post-collection template maintenance cost.Prodigious degree is realized Full Intelligent information acquisition.
Above-described is only some embodiments of the present invention.For those of ordinary skill in the art, not Under the premise of being detached from the invention design, various modifications and improvements can be made, these belong to the protection model of the present invention It encloses.

Claims (7)

1. a kind of cross-platform big data information intelligent acquisition method, it is characterised in that:
Include the following steps:
1) data interaction medium is carried out using document form as with third party system:According to different third party systems, while root File configuration is carried out according to different template files;
2) data acquire:The data of the file configured using cloud environment are acquired;
3) data acquisition information inquiry and feedback:Dissection process is carried out according to corresponding rule to the data in file, data are adopted Enter our systems after collection, our systems are inquired and searched for, while exporting corresponding feedback file to third party system.
2. a kind of cross-platform big data information intelligent acquisition method according to claim 1, it is characterised in that:Step 1) In, file format is the file format that can all third parties be handled.
3. a kind of cross-platform big data information intelligent acquisition method according to claim 2, it is characterised in that:Step 1) In, the formats such as file format XLS, CSV or TXT.
4. a kind of cross-platform big data information intelligent acquisition method according to claim 3, it is characterised in that:Feedback file General definition:Filename, data mode.
5. a kind of cross-platform big data information intelligent acquisition method according to claim 4, it is characterised in that:Data mode For P, F or E, wherein:P:It is handling, F:It is completed, E:Mistake.
6. a kind of cross-platform big data information intelligent acquisition method according to claim 4, it is characterised in that:Data acquire Information inquiry and feedback, correlated condition variation, " P "->" F " or " P "->"E".
7. a kind of cross-platform big data information intelligent acquisition method according to claim 6, it is characterised in that:Data mode For E when, misregistration information feeds back to third party system, and carries out follow-up business operation.
CN201810364053.XA 2018-04-23 2018-04-23 Cross-platform big data information intelligent acquisition method Pending CN108536865A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810364053.XA CN108536865A (en) 2018-04-23 2018-04-23 Cross-platform big data information intelligent acquisition method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810364053.XA CN108536865A (en) 2018-04-23 2018-04-23 Cross-platform big data information intelligent acquisition method

Publications (1)

Publication Number Publication Date
CN108536865A true CN108536865A (en) 2018-09-14

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810364053.XA Pending CN108536865A (en) 2018-04-23 2018-04-23 Cross-platform big data information intelligent acquisition method

Country Status (1)

Country Link
CN (1) CN108536865A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050229168A1 (en) * 2004-04-07 2005-10-13 Sayling Wen Cross-platform user interface development method
CN104050178A (en) * 2013-03-13 2014-09-17 北京思博途信息技术有限公司 Internet monitoring anti-spamming method and device
CN104504006A (en) * 2014-12-11 2015-04-08 厦门市美亚柏科信息股份有限公司 Method and system for acquiring and analyzing data on news client

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050229168A1 (en) * 2004-04-07 2005-10-13 Sayling Wen Cross-platform user interface development method
CN104050178A (en) * 2013-03-13 2014-09-17 北京思博途信息技术有限公司 Internet monitoring anti-spamming method and device
CN104504006A (en) * 2014-12-11 2015-04-08 厦门市美亚柏科信息股份有限公司 Method and system for acquiring and analyzing data on news client

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
严小泉: "基于XML的异构数据源集成系统框架和关键技术研究", 《万方数据库》 *

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