CN107832463A - A kind of finance data service platform - Google Patents
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Abstract
This application provides a kind of finance data service platform, including：Data service module and applied function module.Wherein, data service module is used to obtain source data from the source data file in financial system, for the source data distribution type label, the source data is stored according to the type label, and records the corresponding relation of the storage location of the source data, the type label and the source data.Applied function module is used to be based on data, services demand, there is provided data, services result, the data, services result obtain according to the source data of storage.Compared with existing data warehouse, data-oriented and non-specific business, source data is arranged and classification storage, the middle layer data that can be sought unity of standard, data source is provided for the application such as inquiry.
Description
Technical field
The application is related to electronic information field, more particularly to a kind of finance data service platform.
Background technology
The Various types of data service product of industry construction is made a general survey of, form is varied, but overall thought and target difference are not
Greatly, be all nothing but aim at uniform data source, formulate data standard, authority data service, improve efficiency of service target and effort
's.
Under big data background, considerable industry financial business personnel and Information technology personnel think deeply and attempted such as
What is carried out data, services, is played data value using increasingly abundanter business datum.Then after current financial industry line number according to clothes
Following problems be present in business：Unified data are not had jurisdiction over entirely supports platform, data standard and data middle layer and data clothes
Business interface.In a word, finance data lacks unified, data-oriented aspect serving data platform.
The content of the invention
This application provides a kind of finance data service platform, it is therefore intended that solves the problems, such as.
To achieve these goals, this application provides following technical scheme：
A kind of finance data service platform, including：
Data service module, for obtaining source data from the source data file in financial system, for the source data point
With type label, the source data is stored according to the type label, and record the source data, the type label and
The corresponding relation of the storage location of the source data；
Applied function module, for based on data, services demand, there is provided data, services result, the data, services result according to
Obtained according to the source data of storage.
Optionally, the data service module is used to include for the source data distribution type label：
The data service module is specifically used for, after the source data is pre-processed, for by the pretreatment
Source data distribution type label, the pretreatment include：Multiple source datas are merged, form conversion at least one
.
Optionally, the data service module, which is used for the acquisition source data from the source data file in financial system, includes：
The data service module is specifically used for, with predetermined period, from the source data file in the financial system
The middle collection source data, the predetermined period are less than the preservation duration of the source data file；
And/or
The data service module is specifically used for, in a manner of incremental crawler, from the source number in the financial system
According to gathering the source data in file.
Optionally, the data service module is additionally operable to：
For growth data distribution type label, and record the growth data, the type label and the spreading number
According to storage location corresponding relation, the growth data include other data systems in data.
Optionally, the applied function module is additionally operable to：
Data, services demand based on the growth data, the number of the growth data is obtained from other data systems
According to service result, the data results of the growth data are obtained by other data systems according to the growth data.
Optionally, the applied function module includes：
Query unit, for according to inquiry request and the corresponding relation, exporting and looking into from the source data of storage
Result is ask, the inquiry request includes the type of source data；
Data mart modeling unit, for according to processing request, after being processed to the source data of storage, exporting institute
State the result of working process；
Data supporter, for providing the source data for other data analysis processes.
Optionally, the data service module is used to include according to the type label storage source data：
The data service module is specifically used for, if the type label represents that the source data is used for the cargo tracer
First and described data mart modeling unit, then be stored in the first memory block by the source data, if described in type label expression
It is the data supporter that source data, which is used for, then the source data is stored in into the second memory block.
Optionally, the data service module is additionally operable to：
Source data in first memory block is removed with the cycle very first time, and/or, in second memory block
After source data is output to other data analysis processes, the source data in second memory block is removed.
Optionally, the data service module includes：
Normal data memory block and patch source data memory block, the normal data memory block include first memory block and
Second memory block；
The patch source data memory block is used to store the source obtained from the source data file in the financial system
Data.
Optionally, in addition to：
Source data file acquisition module, for obtaining source data file, the source data file from the financial system
Including the source data.
Optionally, in addition to：
Systemic-function management module, for managing metadata, the metadata includes the type label.
Finance data service platform described herein, including：Data service module and applied function module.Wherein, number
It is used to obtain source data from the source data file in financial system according to service module, is the source data distribution type label,
The source data is stored according to the type label, and records the source data, the type label and the source data
The corresponding relation of storage location.Applied function module is used to be based on data, services demand, there is provided data, services result, the data
Service result obtains according to the source data of storage.Compared with existing data warehouse, data-oriented and non-specific business will
Source data is arranged and classification storage, the middle layer data that can be sought unity of standard, and data are provided for the application such as inquiry
Source.
Brief description of the drawings
, below will be to embodiment or existing in order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of application, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
A kind of structural representation of finance data service platform disclosed in Fig. 1 the embodiment of the present application.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only some embodiments of the present application, rather than whole embodiments.It is based on
Embodiment in the application, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of the application protection.
Fig. 1 is a kind of finance data service platform disclosed in the embodiment of the present application, including：Data service module, using work(
Can module, source data file acquisition module and systemic-function management module.
The function of above-mentioned modules will be described in detail below.
Source data file acquisition module is used to obtain source data file from financial system.Specifically, the core of financial system
Be stored with substantial amounts of data file in heart database, overseas database and other databases, source data file acquisition module from this
Data file is obtained in a little databases as source data file.
After source data file acquisition module gets source data file, only these source data files are preserved, without
Do any other processing.Therefore, source data file acquisition module preserves time of these source data files and may be set in one
Month or so, it can be cleared up after expiring, memory space is vacated for new source data file.Overdue source data file can be stored
In the storage medium of extension, such as tape, to backup.
If big data technology can be combined, distributed expensive storage equipment can be used to store expired source data file, it is not necessary to
Tape is backuped to again.Because the data retention period limit after storage was not easy more than 2 years, if the demand data more than 2 years, just
It need not recover again from tape, the use to historical data is more convenient.For data such as customer table, credit, the transaction being in daily use
Table, it is contemplated that emphasis is treated with a certain discrimination, and special online design retains the more long time.
Data service module is used to obtain source data from the source data file in financial system, is source data distribution type
Label, source data is stored according to type label, and record the storage position of source data, the type label and the source data
The corresponding relation put.
Data service module is the key modules of finance data service platform.
Specifically, data service module can use predetermined period, the source number got from source data file acquisition module
According to gathering source data in file.Predetermined period is less than preservation duration of the source data file in source data file acquisition module.
Data service module can use the mode of incremental crawler, the source data got from source data file acquisition module
Source data is gathered in file.So-called incremental crawler, refer to the data of only collection renewal (newly-increased or modification), do not updated without gathering
Data, it is therefore intended that save resource.It is of course also possible to the mode of (collection total data) is gathered using full dose, with the source of improving
The integrality and accuracy of data.
, can be with this kind of source data of a newly-built data storage if collecting the source data with new data structure.
Type label has been preset in data service module.After source data is obtained, if source data be simple data (such as
One form), then can directly be source data distribution type label.If source data is complex data (such as multiple of association
Form), then need newly to pre-process source data, then be pretreated source data distribution type label.Pretreatment includes：
Multiple source datas is merged, form conversion at least one of.
The purpose of pretreatment is, the data for meeting generation requirement are converted to the data for meeting application demand.For example, account
User data forms multiple forms in generation：Name form, account form and address form.The application demand of data-oriented, will
Multiple forms of account data merge into a form, wherein record name, account and address.
That is, generating normal data by the unified type standard of foundation, it is not meant to the active number of institute
According to doing one of processing again, and the data being only processed to needs pre-process, so as to save time and space.In contrast to existing
It is used for the supermarket for peddling goods in reality, obtain source data from source data file moves into supermarket equivalent to goods, then is source
Data classification type label equivalent to shelf on goods code, labelled, storage corresponding relation relative to by label and
Shelf location registers on the books.The key job of data service module is (overall point of aggregate analysis, combing, the classification to data
Analysis, combing, classifying is considered as pre-establishing the process of type label) and mark, registration work.
For another metaphor, the function of data service module equivalent on uncorrected data with unique business implication
One layer, even multilayer logic data map are sketched out, the logical data view of these different levels, exactly treats full linchpin data
Different angle, each layer of each back end all correspond to unique uncorrected data, in different levels but industry that implication is consistent
Business data will correspond to identical uncorrected data.
Specifically, data service module includes following storage region：Paste source data memory block and normal data memory block.
Wherein, source data memory block is pasted to be used to store the patch source data obtained from source data file.That is data, services mould
Patch source data is obtained in the source data file that block obtains from source data file acquisition module, and patch source data is stored in patch source number
According to memory block.
Patch source data refers to from the holding prototype structure of all kinds of operation systems and the business datum of characteristic, that is, do not have
There is treated uncorrected data.
Normal data memory block is used for the source data for storing distribution type label, and source data, type label and source
The corresponding relation of the storage location of data.
Further, normal data memory block includes application data area (the first memory block) and ephemeral data area (second deposits
Storage area).Application data area is used to store the source for being used for inquiring about and process (explanation that detailed functions can be found in applied function module)
Data.Ephemeral data area is used for the source data for storing the standardized data as other data analysis processes.
Optionally, the source data in application data area is removed with the cycle very first time, and/or, in ephemeral data area
After source data is output to other data analysis processes, the source data in the second memory block is removed.
After being completed in normal data memory block, it can easily be provided by retrieving data register table required for navigating to
Data, this equivalent to providing a uniform data service interface, can demand data is unambiguous, be uniquely mapped to it is naked
In data.
Applied function module is used for the data, services demand based on user's input, there is provided what the source data according to storage obtained
Data, services result.
Specifically, applied function module includes：Query unit, data mart modeling unit and data supporter.
Wherein, query unit is used for the corresponding relation of inquiry request and the data service module storage according to user, from
Query Result is exported in the source data of storage, the inquiry request includes the type of source data.Query Result directly returns, finance
Data service platform does not store result.If Query Result is needed again, it is necessary to rerun query unit.
Query function can include the inquiry to the source data of normal data memory block, can also be looked into including DFD
Ask, data correlation relation inquiry and sample data are inquired about, or provide and the finite data of single table is inquired about.
Optionally, the complicated correlation inquiry to full linchpin data can be forbidden, rule of thumb, this can have a strong impact on data platform
The batch performance of product, it is therefore necessary to avoid.Complicated correlation inquiry can be in existing application data area or outside specific data
There is provided in fairground.
Optionally, programming count can be carried out to the inquiry request of data, to understand the application value of data and carry out heat
The management of point data.
Data mart modeling unit is used for according to processing request, and (processing is patrolled after being processed to the source data of storage
It is volume generally more more complicated than directly inquiring about), export the result of working process, and be stored in finance data service platform (such as can be with
Storage 1 year), it can repeatedly use.It can be seen that equivalent to one simple application system of the function of data mart modeling unit is whole
End.Therefore, the working process includes the function that application system terminal has.For example, the function such as data operation processing.
Data supporter is used to provide source data for other data analysis processes.The centre of customization is provided for application terminal
Data, services, these support data (equivalent to the blank data pieced together by screening) after offer is gone out, by short stay
(such as 1 day) can delete.
Optionally, data mart modeling and data can also be supported to carry out number statistics.
With reference to above-mentioned data service module storage region can be seen that query unit and data machining cell can be from should
Source data is obtained with data field.And data supporter can obtain source data from ephemeral data area.
Systemic-function management module includes task scheduling and administrative unit, source data administrative unit, operation process monitoring are single
Member and data quality monitoring unit.
Wherein, the effect of metadata management unit is the most key.Source data is management availability of data and incidence relation
Guiding principle, it is the management layer data on uncorrected data.Specifically it is exactly to be used for managed source number for type label of source data distribution etc.
According to data, equivalent to the shelf and goods catalogue etc. of life supermarket.Metadata includes data dictionary, viewdata, flows to number
Ensure the healthy and strong management layer data of financial data service platform according to (there is consanguinity analysis and impact analysis function) etc..
Task scheduling and management are also an essential function of typical rear linear system system, and its key is classifying rationally
And schedule job, make full use of system resource.
Operation process monitoring is to be monitored the scheduling process of data.
Data quality monitoring is primarily referred to as to source data and reports and submits the quality breach between data to be managed, such as
Data are transmitting and stored the management of mess code data caused by link, to source data and reporting and submitting the amendment pipe between data demand
Reason, also include when source system data structure change to the more new management of source data and metadata.
It should be noted that there are the historical problem and realistic situation of oneself, original data system in every financial institution
It can not possibly abolish completely.Therefore considered based on actual conditions, one virtual financial data service platform of proposition is general in the application
Read.
The source data even combined data that some of original data system have characteristic service is taken as finance data
The unofficial data of business platform are subject to registration management, are difficult to when in finance data service platform data area in itself or systematic function
When meeting some data, services demands, a small amount of task subpackage can be taken on a part of work to corresponding data system.And
In the source data of finance data service platform normal data memory block, to include full linchpin, the unified standard at full visual angle and regard
Figure, and actual source data even collects layer data and is distributed across in the product of multiple physics.
Based on the finance data service platform shown in Fig. 1, the particular technique feature of virtual financial data service platform is realized
Including：
It is growth data distribution type label, and record institute using the source data in other data systems as growth data
The corresponding relation of the storage location of growth data, type label and growth data is stated, that is, realizes full linchpin, the unified mark at full visual angle
Quasi- Data View.In the case where the demand for services of user's input is related to growth data, the data, services based on growth data need
Ask, the data, services result of growth data is obtained from other data systems, wherein, the data results of growth data are by other
Data system obtains according to growth data.
In summary, the finance data service platform shown in Fig. 1, data-oriented and non-specific business carry out source data
Arrangement and classification storage, the middle layer data that can be sought unity of standard, data source is provided for the application such as inquiry.
Compared with existing data warehouse, uniform data service interface more prominent than data warehouse, data, services mechanism and
System implementation strategy, it is more more flexible than Construction of Data Warehouse, economic, practical, efficient.
If the function described in the embodiment of the present application method is realized in the form of SFU software functional unit and is used as independent production
Product are sold or in use, can be stored in a computing device read/write memory medium.It is real based on such understanding, the application
The part for applying part that example contributes to prior art or the technical scheme can be embodied in the form of software product,
The software product is stored in a storage medium, including some instructions are make it that a computing device (can be personal meter
Calculation machine, server, mobile computing device or network equipment etc.) perform each embodiment methods described of the application whole or portion
Step by step.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), with
Machine access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with Jie of store program codes
Matter.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be with it is other
The difference of embodiment, between each embodiment same or similar part mutually referring to.
The foregoing description of the disclosed embodiments, professional and technical personnel in the field are enable to realize or using the application.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments in the case where not departing from spirit herein or scope.Therefore, the application
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (11)
- A kind of 1. finance data service platform, it is characterised in that including：Data service module, for obtaining source data from the source data file in financial system, class is distributed for the source data Type label, the source data is stored according to the type label, and record the source data, the type label and described The corresponding relation of the storage location of source data；Applied function module, for based on data, services demand, there is provided data, services result, the data, services result foundation are deposited The source data of storage obtains.
- 2. finance data service platform according to claim 1, it is characterised in that the data service module is used for for institute Stating source data distribution type label includes：The data service module is specifically used for, after the source data is pre-processed, for the source number Jing Guo the pretreatment According to distribution type label, the pretreatment includes：Multiple source datas are merged, form conversion at least one of.
- 3. finance data service platform according to claim 1, it is characterised in that the data service module is used for from gold Melting acquisition source data in the source data file in system includes：The data service module is specifically used for, and with predetermined period, is adopted from the source data file in the financial system Collect the source data, the predetermined period is less than the preservation duration of the source data file；And/orThe data service module is specifically used for, in a manner of incremental crawler, from the source data text in the financial system The source data is gathered in part.
- 4. finance data service platform according to claim 1, it is characterised in that the data service module is additionally operable to：For growth data distribution type label, and record the growth data, the type label and the growth data The corresponding relation of storage location, the growth data include the data in other data systems.
- 5. finance data service platform according to claim 4, it is characterised in that the applied function module is additionally operable to：Data, services demand based on the growth data, the data clothes of the growth data are obtained from other data systems Business result, the data results of the growth data are obtained by other data systems according to the growth data.
- 6. finance data service platform according to claim 1, it is characterised in that the applied function module includes：Query unit, for according to inquiry request and the corresponding relation, output, which is inquired about, from the source data of storage to tie Fruit, the inquiry request include the type of source data；Data mart modeling unit, for according to processing request, after being processed to the source data of storage, output it is described plus The result of work processing；Data supporter, for providing the source data for other data analysis processes.
- 7. finance data service platform according to claim 6, it is characterised in that the data service module be used for according to The type label, which stores the source data, to be included：The data service module is specifically used for, if the type label represent the source data be used for the query unit and The data mart modeling unit, then be stored in the first memory block by the source data, if the type label represents the source number According to for for the data supporter, then the source data being stored in into the second memory block.
- 8. finance data service platform according to claim 7, it is characterised in that the data service module is additionally operable to：Source data in first memory block is removed with the cycle very first time, and/or, the source number in second memory block After other data analysis processes are output to, the source data in second memory block is removed.
- 9. the finance data service platform according to claim 7 or 8, it is characterised in that the data service module includes：Normal data memory block and patch source data memory block, the normal data memory block include first memory block and described Second memory block；The patch source data memory block is used to store the source data obtained from the source data file in the financial system.
- 10. finance data service platform according to claim 1, it is characterised in that also include：Source data file acquisition module, for obtaining source data file from the financial system, the source data file includes The source data.
- 11. finance data service platform according to claim 1, it is characterised in that also include：Systemic-function management module, for managing metadata, the metadata includes the type label.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110069561A (en) * | 2019-04-29 | 2019-07-30 | 金瓜子科技发展（北京）有限公司 | Account acquisition methods, system, electronic equipment and computer-readable medium |
| CN111861748A (en) * | 2020-07-15 | 2020-10-30 | 郑州博瀚智能科技有限公司 | Financial big data analysis platform based on artificial intelligence |
| CN112069215A (en) * | 2020-09-17 | 2020-12-11 | 国电龙源电气有限公司 | Data query method and device based on integrated data |
| WO2021068612A1 (en) * | 2019-10-12 | 2021-04-15 | 苏宁云计算有限公司 | Method and device for archiving outdated data |
| CN112817919A (en) * | 2021-01-27 | 2021-05-18 | 中国银联股份有限公司 | Data merging method and device and computer readable storage medium |
| CN113326261A (en) * | 2021-04-29 | 2021-08-31 | 上海淇馥信息技术有限公司 | Data blood relationship extraction method and device and electronic equipment |
| CN115391466A (en) * | 2022-08-31 | 2022-11-25 | 中国银行股份有限公司 | Label processing method and system based on data warehouse |
| CN115408641A (en) * | 2022-09-28 | 2022-11-29 | 深圳市星卡科技股份有限公司 | Control method for data management service center |
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