CN108021670A - Multi-source heterogeneous data fusion system and method - Google Patents
Multi-source heterogeneous data fusion system and method Download PDFInfo
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- CN108021670A CN108021670A CN201711273802.XA CN201711273802A CN108021670A CN 108021670 A CN108021670 A CN 108021670A CN 201711273802 A CN201711273802 A CN 201711273802A CN 108021670 A CN108021670 A CN 108021670A
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- 238000007500 overflow downdraw method Methods 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 238000007418 data mining Methods 0.000 claims abstract description 6
- 238000007405 data analysis Methods 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 4
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- 238000004140 cleaning Methods 0.000 claims description 3
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
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Abstract
The invention discloses a kind of multi-source heterogeneous data fusion system, it includes data active layer, computation layer, data Layer and analysis layer.Computation layer includes memory Computational frame, stream calculation frame, data warehouse, data mining engine, distributed computing framework and file system；Data Layer includes SQL systems, NoSQL systems and caching system, and analysis layer is used to include semantic layer and OLAP engines.The invention also discloses a kind of multi-source heterogeneous data fusion method, including：S1, transform airline official website, obtains the user's slide fastener table for representing user's unique identities；S2, obtain multi-source heterogeneous data, and multi-source heterogeneous data are merged, and is stored in the data mode of sole user on big data platform；S3, using support：User's portrait is formed using the multi-source heterogeneous data after fusion；User's portrait of formation is stored to above big data platform using the representation of NOSQL.The present invention realizes the fusion of multi-source heterogeneous data, and support is provided for the science decision of airline.
Description
Technical field
The present invention relates to the big data analysis of aircraft industry, and in particular to a kind of multi-source heterogeneous data fusion system and method.
Background technology
In Aviation Industry, since informatization is more early, now each Aviation Enterprise have oneself passenger information storehouse,
Electronic passenger ticket storehouse and departure from port record storehouse, and as the rise of electric business industry, more and more passengers pass through third party's OTA machines
Structure, airline official website or APP carry out booking, and since the information construction time is different, framework is different, therefore is produced in Aviation Enterprise
Substantial amounts of multi-source heterogeneous data are given birth to.
Multi-source heterogeneous data have the characteristics that：
(1) mixed type data：Including structuring and unstructured data；
(2) data discrete：Data distribution is in different system or platform；
(3) data volume is big：The data volume of substantially each platform is very huge；
(4) quality of data is uneven：The quality of data of different platform is inconsistent.
Multi-source heterogeneous data are merged, and are applied based on the data after fusion, are advantageously implemented airline
Science decision, reduce airline operation cost, lifted passenger flow.
The content of the invention
It is an object of the invention to provide a kind of multi-source heterogeneous data fusion system and method.
To achieve the above object, the present invention uses following technical scheme：
Multi-source heterogeneous data fusion system, for the multi-source heterogeneous data fusion of aircraft industry, including：
Data active layer, the data active layer are used for the set for obtaining each heterogeneous data source, its data source obtained includes knot
Structure data, unstructured data and real-time streaming data；
Computation layer, the computation layer are used for collection, cleaning, storage and calculating to the data source, it includes memory meter
Calculate frame, stream calculation frame, data warehouse, data mining engine, distributed computing framework and file system；
The memory Computational frame is used for realization the data based on memory and calculates, and the stream calculation frame is used for for aviation
The real-time reception of PNR data and calculating, the data warehouse is used for the website browsing related data after storage organization, described
Data mining engine is used for model foundation and the calculating of user, for the resource management for whole big data platform, the text
The data file that part system is used for whole platform bottom stores；
Data Layer, the data Layer are used for realization storage data access, it includes SQL systems, NoSQL systems and caching system
System；The SQL systems are used for realization the storage and search of relevant database, and the NoSQL systems are used for non-relational data
The storage and search in storehouse, the caching system are used for the data storage based on caching and calculate；
Analysis layer, the analysis layer, which is used for realization, portrays the data analysis after user-association and portrait, it includes semanteme
Layer and OLAP engines；The semantic layer is used for realization based on the exploitation and displaying for carrying out report after analysis with business scenario, described
OLAP engines are used for realization the on-line analytical processing for data analysis.
The invention also discloses a kind of multi-source heterogeneous data fusion method, it comprises the following steps：
S1, transform airline official website, obtains the user's slide fastener table for representing user's unique identities；
S2, obtain multi-source heterogeneous data, and multi-source heterogeneous data are merged, and is stored with the data mode of sole user
On big data platform, it is specifically included：
S21, acquisition web log, electronic passenger ticket record and departure from port record, the web log include aviation
Company's official website access log and third party's booking web log；
S22, by web log textual, the web log of textual is cleaned using MR programs, will
It cleans the website data for structuring；
S23, the access track for identifying by user's slide fastener table same user in each website data after structuring；
S24, set and visit secondary duration, will be determined as a visit time in the repeatedly visit time accessed in duration, from access track
The middle operation data for obtaining user；
User and the other users in network, be associated by S25, and the data after association are formed wide table is stored in big number
According on platform.
Further, prompt user to bind wechat or QQ in airline official website, subsequently directly stepped on using wechat or QQ
Record, the method being combined for unbound user using userid and webtrends_id are identified, by the access ID of website,
Email address, member's card number, phone number, wechat number, QQ number code are identified as the information of a user, make with unique body
User's slide fastener table of part.
Further, record and depart from port by electronic passenger ticket and record, analyze the pass of going together and assign of user and other users
System；Wechat public platform is shared by user, analyzes the wechat friends between user and other users；By to user
The analysis of membership data, analyzes the Peer Relationships between user and other users.
Further, further include：
S3, using support：The feature extraction of user is carried out using the multi-source heterogeneous data after fusion, forms user's portrait；
User's portrait of formation is stored to above big data platform using the representation of NOSQL, upper confession number is applied to realize
Hold：
Further, it is described to support to include for number：The displaying of user's portrait：User is identified with unique ID, there is provided name, connection
Being mode or passport NO. information as querying condition inquires about user's portrait that the user possesses.
Further, it is described to support to include for number：The marketing strategy proposed according to sales department, draws a portrait user and carries out not
Same combination, forms the marketing program of different dimensions.
Further, it is described to support to include for number：According in special time period, user flows to official website from third party OTA and puts down
Platform flows to APP platforms from official website platform, there is provided user migrates report as the adjustment of admission fee or the adjustment foundation of flight.
After adopting the above technical scheme, the present invention has the following advantages that compared with background technology：
The present invention identifies the access track of same user by user's slide fastener table in each booking website, and excavates in network
User and the relation of other users, obtain the association results of the overall situation, its fused data finally obtained is the shape with sole user
Formula is stored on big data platform.And the data based on sole user carry out user's portrait, so as to determine for the science of airline
Plan provides support.
Brief description of the drawings
Fig. 1 is present system Organization Chart.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, it is right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Embodiment
Refering to Figure 1, the invention discloses a kind of multi-source heterogeneous data fusion system, the multi-source for aircraft industry is different
Structure data fusion, it includes data active layer, computation layer, data Layer and analysis layer.
The data active layer is used to obtain the set of each heterogeneous data source, its data source obtained include structural data,
Unstructured data and real-time streaming data.
The computation layer is used for collection, cleaning, storage and calculating to the data source, it include memory Computational frame,
Stream calculation frame, data warehouse, data mining engine, distributed computing framework and file system.The memory Computational frame is used
Calculated in data of the realization based on memory, for example site visitor is lost in the calculating of model；The stream calculation frame is used for for boat
The real-time reception of empty PNR data and calculating；The data warehouse is used for the website browsing related data after storage organization；Institute
State model foundation and calculating that data mining engine is used for user；It is described for the resource management for whole big data platform
The data file that file system is used for whole platform bottom stores.
The data Layer is used for realization storage data access, it includes SQL systems, NoSQL systems and caching system；It is described
SQL systems are used for realization the storage and search of relevant database, and the NoSQL systems are used for the storage of non-relational database
And search, the caching system are used for the data storage based on caching and calculate；
Analysis layer, the analysis layer, which is used for realization, portrays the data analysis after user-association and portrait, it includes semanteme
Layer and OLAP engines；The semantic layer is used for realization based on the exploitation and displaying for carrying out report after analysis with business scenario, described
OLAP engines are used for realization the on-line analytical processing for data analysis.
The invention also discloses a kind of multi-source heterogeneous data fusion method, it comprises the following steps：
S1, transform airline official website, obtains the user's slide fastener table for representing user's unique identities；
S2, obtain multi-source heterogeneous data, and multi-source heterogeneous data are merged, and is stored with the data mode of sole user
On big data platform；
S3, using support：The feature extraction of user is carried out using the multi-source heterogeneous data after fusion, forms user's portrait；
User's portrait of formation is stored to above big data platform using the representation of NOSQL, upper confession number is applied to realize
Hold.
Wherein, S1 is specially：User is prompted to bind wechat or QQ in airline official website, it is subsequently straight using wechat or QQ
Login is connect, the method being combined for unbound user using userid and webtrends_id is identified, by the visit of website
Ask that ID, email address, member's card number, phone number, wechat number, QQ number code are identified as the information of a user, making has
User's slide fastener table of unique identities.
S2 is specially：
S21, acquisition web log, electronic passenger ticket record and departure from port record, the web log include aviation
Company's official website access log and third party's booking web log.
User can accumulate substantial amounts of static and dynamic data in aviation electric business website or APP.Static data are such as
The essential information of user, user after registered members or have booking record after, certain attribute information can be formed：Such as its base
This information, including name, gender, age, contact method etc.；Such as its background information, including its work unit, address etc..It is dynamic
The data of state include seizing the opportunity information and access track etc..Seize the opportunity information and refer to the social activity that user is formed in multiple booking and after seizing the opportunity
Network structure information, which can record from the electronic passenger ticket of airline, be checked in departure from port record, it specifically may include
Such as festivals or holidays go out line frequency, buy by oneself and buy on behalf, relation of going together and relation of assigning.Accessing track refers to user in electric business website
Above browse record, booking record etc..
S22, by web log textual, the web log of textual is cleaned using MR programs, will
It cleans the website data for structuring.
S23, the access track for identifying by user's slide fastener table same user in each website data after structuring；
S24, set and visit secondary duration, will be determined as a visit time in the repeatedly visit time accessed in duration, from access track
The middle operation data for obtaining user.
Duration will such as be accessed to be defined as 30 minutes, then all visits of a certain user in 30 minutes time are defined as a visit
It is secondary.By visiting secondary definition, while making data that there is clear and definite timing node, and can be to avoid the excessive useless number of generation
According to and cause data excessively too fat to move.
User and the other users in network, be associated by S25, and the data after association are formed wide table is stored in big number
According on platform.
Specifically, it is recorded and is departed from port by electronic passenger ticket and recorded, and analyzes the pass of going together and assign of user and other users
System；Wechat public platform is shared by user, analyzes the wechat friends between user and other users；By to user
The analysis of membership data, analyzes the Peer Relationships between user and other users.
In step S3, the user characteristics of extraction includes the information such as geography information feature, booking frequency, user context, passes through
The information can form abundant user's portrait, and such as electric business high-value user, handle booking liveness, enliven gold card user.
Its described confession number is supported to include：Displaying, precision marketing advertisement putting and the user's use habit of user's portrait are migrated.
The displaying of user's portrait：User is identified with unique ID, there is provided the information conduct such as name, contact method or passport NO.
Querying condition inquires about user's portrait that the user possesses.
Precision marketing advertisement putting：The marketing strategy proposed according to sales department, draws a portrait user and carries out different combinations,
Form the marketing program of different dimensions.
User's use habit is migrated：According in special time period, a large number of users from third party OTA flow to official website platform or
From official website, platform flows to APP platforms, there is provided user migrates report as the adjustment of admission fee or the adjustment foundation of flight.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, the change or replacement that can readily occur in,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of the claims
Subject to.
Claims (8)
1. multi-source heterogeneous data fusion system, the multi-source heterogeneous data fusion for aircraft industry, it is characterised in that including：
Data active layer, the data active layer are used for the set for obtaining each heterogeneous data source, its data source obtained includes structuring
Data, unstructured data and real-time streaming data；
Computation layer, the computation layer are used for collection, cleaning, storage and calculating to the data source, it includes memory calculation block
Frame, stream calculation frame, data warehouse, data mining engine, distributed computing framework and file system；
The memory Computational frame is used for realization the data based on memory and calculates, and the stream calculation frame is used for for aviation PNR
The real-time reception of data and calculating, the data warehouse are used for the website browsing related data after storage organization, the number
According to model foundation and calculating of the engine for user is excavated, for the resource management for whole big data platform, the file
The data file that system is used for whole platform bottom stores；
Data Layer, the data Layer are used for realization storage data access, it includes SQL systems, NoSQL systems and caching system；
The SQL systems are used for realization the storage and search of relevant database, and the NoSQL systems are used for non-relational database
Storage and search, the caching system are used for the data storage based on caching and calculate；
Analysis layer, the analysis layer, which is used for realization, portrays the data analysis after user-association and portrait, it include semantic layer and
OLAP engines；The semantic layer is used for realization based on the exploitation and displaying for carrying out report after analysis with business scenario, the OLAP
Engine is used for realization the on-line analytical processing for data analysis.
2. a kind of multi-source heterogeneous data fusion method, the multi-source heterogeneous of aircraft industry is realized by the system as claimed in claim 1
Data fusion, it is characterised in that comprise the following steps：
S1, transform airline official website, obtains the user's slide fastener table for representing user's unique identities；
S2, obtain multi-source heterogeneous data, and multi-source heterogeneous data are merged, and is stored in greatly with the data mode of sole user
On data platform, it is specifically included：
S21, acquisition web log, electronic passenger ticket record and departure from port record, the web log include airline
Official website access log and third party's booking web log；
S22, by web log textual, the web log of textual is cleaned using MR programs, its is clear
Wash the website data for structuring；
S23, the access track for identifying by user's slide fastener table same user in each website data after structuring, the access
Track is user browses record and booking record on website；
S24, set and visit secondary duration, will be determined as a visit time in the multiple visit time accessed in duration, is obtained from accessing in track
Take the operation data at family；
User and the other users in network, be associated by S25, the data after association are formed wide table is stored in big data and put down
On platform.
A kind of 3. multi-source heterogeneous data fusion method as claimed in claim 2, it is characterised in that：Step S1 is specially：Navigating
Prompt user to bind wechat or QQ in empty company official website, subsequently directly logged in using wechat or QQ, used for unbound user
The method that userid and webtrends_id are combined is identified, by the access ID of website, email address, member's card number, hand
Machine number, wechat number, QQ number code are identified as the information of a user, make user's slide fastener table with unique identities.
A kind of 4. multi-source heterogeneous data fusion method as claimed in claim 3, it is characterised in that：Step S25 is specially：Pass through
Electronic passenger ticket records and departure from port record, analyzes the relation of going together and assign of user and other users；By user to the wechat public
Number share, analyze the wechat friends between user and other users；By the analysis to user's membership data, analysis is used
Peer Relationships between family and other users.
5. a kind of multi-source heterogeneous data fusion method as claimed in claim 2, it is characterised in that further include：
S3, using support：The feature extraction of user is carried out using the multi-source heterogeneous data after fusion, forms user's portrait；By shape
Into user's portrait using the representation storage of NOSQL to above big data platform, supported with realizing that application is upper for number.
A kind of 6. multi-source heterogeneous data fusion method as claimed in claim 5, it is characterised in that：It is described to support to include for number：
The displaying of user's portrait：User is identified with unique ID, there is provided name, contact method or passport NO. information are looked into as querying condition
Ask user's portrait that the user possesses.
A kind of 7. multi-source heterogeneous data fusion method as claimed in claim 5, it is characterised in that：It is described to support to include for number：
The marketing strategy proposed according to sales department, draws a portrait user and carries out different combinations, forms the marketing program of different dimensions.
A kind of 8. multi-source heterogeneous data fusion method as claimed in claim 5, it is characterised in that：It is described to support to include for number：
According in special time period, user flows to official website platform from third party OTA or flows to APP platforms from official website platform, there is provided uses
Report is migrated as the adjustment of admission fee or the adjustment foundation of flight in family.
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