CN107145599A - A kind of big data asset management system - Google Patents
A kind of big data asset management system Download PDFInfo
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- CN107145599A CN107145599A CN201710400973.8A CN201710400973A CN107145599A CN 107145599 A CN107145599 A CN 107145599A CN 201710400973 A CN201710400973 A CN 201710400973A CN 107145599 A CN107145599 A CN 107145599A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/22—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24573—Query processing with adaptation to user needs using data annotations, e.g. user-defined metadata
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F16/903—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/10—Architectures or entities
- H04L65/1063—Application servers providing network services
Abstract
The embodiment of the invention discloses a kind of big data asset management system, external data can be got by the first interchanger, first interchanger is connected with application server, external data after processing can be sent to application server, wherein, external data can be divided into structural data and unstructured data.The information that application server can be inputted according to user, related data analysis instructions are sent to fabric processor or unstructured processor；Fabric processor can be stored, calculated according to the data analysis instructions received to the structural data, and result of calculation is sent to the application server；Unstructured processor can be stored, calculated according to the data analysis instructions received to the unstructured data, and result of calculation is sent to the application server.It can be seen that, it can realize that the classification to data is handled by the technical scheme, improve the reliability of data assets management.
Description
Technical field
The present invention relates to big data technical field, more particularly to a kind of big data asset management system.
Background technology
The developing rapidly of internet has expedited the emergence of the information explosion epoch and has advanceed to, telecommunications industry, government department, finance neck
The data of the generations such as domain, retail business and logistics field are vast as the open sea.In big data field, as hadoop, spark, storm etc. this
Some very powerful and exceedingly arrogant new technologies or various advanced analysis algorithms be all on the basis of data are effectively controlled competence exertion its
Effect.
Data assets management (Data asset management, DAM) is planning, control and provides data and information money
Production one group of operation function, including develop, perform and supervise the plan about data, policy, scheme, project, flow, method and
Program, so as to control, protect, deliver and improve the value of data assets.For a large data center, maximum cost
It is not expensive equipment to waste, the high-grade, precision and advanced data talent, but in the data basis of mistake, has done the data point of complexity
The work such as analysis statistics.If data premise is all wrong, that any input is not all worth, and cost will no maximum forever.It is existing
Have in technology, lay particular stress on causes structuring, inside and outside with the collection to data, cleaning and analysis, effective management of the shortage to data
Data are mashed up, and the reliability of data cannot be guaranteed.
It can be seen that, the reliability of data assets management how is lifted, is those skilled in the art's urgent problem to be solved.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of big data asset management system, can lift data assets management
Reliability.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of big data asset management system, including first hands over
Change planes, structural data processor, unstructured data processor and application server,
First interchanger is connected with the application server, for obtaining external data, and the external data is entered
Row processing, and the external data after processing is sent to the application server；The external data include structural data and
Unstructured data；
The application server, for the external data after reception processing, and the information inputted according to user, to institute
State fabric processor or the unstructured processor sends related data analysis instructions；
The fabric processor, for according to the data analysis instructions received, entering to the structural data
Row storage, calculating, and result of calculation is sent to the application server；
The unstructured processor, for according to the data analysis instructions received, to the unstructured number
According to being stored, calculated, and result of calculation is sent to the application server.
Optionally, in addition to repository,
The application server is connected with the repository, is additionally operable to analyze the external data after processing,
Corresponding metadata and metadata rule is obtained, and the metadata and metadata rule are sent to the configuration
Storehouse；
The repository, for receiving and storing the metadata and metadata rule.
Optionally, the application server is additionally operable to count the frequency of use of the metadata, when making for the metadata
It is less than predetermined threshold value with frequency, then deletes the metadata from the repository.
Optionally, in addition to second switch and supervisor,
The second switch is connected with the supervisor, is sent for obtaining internal data, and by the internal data
To the supervisor；
The supervisor, for analyzing the internal data, when the internal data does not meet preparatory condition,
Then carry out alarm.
Optionally, first interchanger is 10,000,000,000 interchangers.
Optionally, the second switch is gigabit switch.
Optionally, the structural data processor uses distribution MYSQL systems.
Optionally, the unstructured data processor uses HBASE systems.
External data can be got by the first interchanger it can be seen from above-mentioned technical proposal, the first interchanger with
Application server is connected, and can send the external data after processing to the application server, wherein, external data can be drawn
It is divided into structural data and unstructured data.The information that application server can be inputted according to user, to fabric processor
Or unstructured processor sends related data analysis instructions；Fabric processor can be according to the data received point
Analysis instruction, is stored to the structural data, is calculated, and result of calculation is sent to the application server；Non-structural
Change processor to store the unstructured data according to the data analysis instructions received, calculate, and will
Result of calculation is sent to the application server.It can be seen that, can be to structuring and unstructured data point by the technical scheme
Class processing, improves the reliability of data assets management.
Brief description of the drawings
In order to illustrate the embodiments of the present invention more clearly, the required accompanying drawing used in embodiment will be done simply below
Introduce, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for ordinary skill people
For member, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of structural representation of the big data asset management system provided in an embodiment of the present invention；
Fig. 2 is a kind of Organization Chart of the big data asset management system provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on this
Embodiment in invention, those of ordinary skill in the art are not under the premise of creative work is made, and what is obtained is every other
Embodiment, belongs to the scope of the present invention.
In order that those skilled in the art more fully understand the present invention program, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.
Next, a kind of big data asset management system that the embodiment of the present invention is provided is discussed in detail.Fig. 1 is the present invention
A kind of structural representation for big data asset management system that embodiment is provided, including at the first interchanger 11, structural data
Device 12, unstructured data processor 13 and application server 14 are managed,
First interchanger 11 is connected with the application server 14, for obtaining external data, to the external number
According to being handled, and the external data after processing is sent to the application server 14.
Wherein, external data can include structural data and unstructured data.
Data volume in view of external data is larger, in order to meet the demand of big data transmission, in embodiments of the present invention,
First interchanger can use 10,000,000,000 interchangers.In order to prevent the loss of data, the mode of data redundancy can be taken, so,
The number of first interchanger could be arranged to two, and this two interchangers do high availability and the extension that Trunk ensures interchanger.
The external data that first interchanger is got has usually contained invalid data, repeated data.Wherein, invalid data can
To regard that some do not have the data of break-up value as.If the external data for acquisition directly carries out follow-up data analysis,
These invalid datas, repeated data can increase the workload of data analysis, or even data analysis can be interfered.Therefore, exist
External data is supplied to before application server 14, first external data can be handled, for example, entering for external data
The effective and invalid arrangement of row, deleting duplicated data etc..
First interchanger 11 is connected with structural data processor 12 and unstructured data processor 13 respectively, and first
Interchanger 11 can be dependent on structural data processor 12 and unstructured data processor after external data is got
13 pairs of external datas are handled, then the external data after processing is sent into application server 14.
The application server 14, for the external data after reception processing, and the information inputted according to user, to
The fabric processor 12 or the unstructured processor 13 send the data analysis instructions of correlation.
Data analysis instructions can serve to indicate that the data of required analysis, and show form accordingly.
The fabric processor 12, for according to the data analysis instructions received, to the structural data
Stored, calculated, and result of calculation is sent to the application server.
Wherein, fabric processor 12 can use distribution MYSQL frameworks, and in order to ensure data reliability, there is provided number
According to reading capability, per number according at least two copy is needed, accordingly, MYSQL frameworks can include at least three node.
Fabric processor 12 is connected with the first interchanger, can be sent result of calculation to application by the first interchanger
Server 14.
The unstructured processor 13, for according to the data analysis instructions received, to described unstructured
Data are stored, calculated, and result of calculation is sent to the application server.
Unstructured processor 13 can use HBASE frameworks, can include at least five node, wherein, 2 are
Hadoop/hbase management nodes, 3 are that hadoop/hbase calculates memory node.
Unstructured processor 13 is connected with the first interchanger, can by the first interchanger by result of calculation send to should
With server 14.
External data can be got by the first interchanger it can be seen from above-mentioned technical proposal, the first interchanger with
Application server is connected, and can send the external data after processing to the application server, wherein, external data can be drawn
It is divided into structural data and unstructured data.The information that application server can be inputted according to user, to fabric processor
Or unstructured processor sends related data analysis instructions；Fabric processor can be according to the data received point
Analysis instruction, is stored to the structural data, is calculated, and result of calculation is sent to the application server；Non-structural
Change processor to store the unstructured data according to the data analysis instructions received, calculate, and will
Result of calculation is sent to the application server.It can be seen that, it can be realized to structuring and unstructured number by the technical scheme
According to classification processing, improve data assets management reliability.
For external data, its data volume is big, data type is various, for the ease of carrying out inquiry pipe to these external datas
Reason, can be stored in the form of metadata in embodiments of the present invention.Metadata is mainly the information of description data attribute,
Resource can be recognized by metadata, resource, the change of tracking resource in use is evaluated, realization has to data assets
Effect management.
In embodiments of the present invention, external data can be analyzed by application server 14, obtains corresponding member
Data.For the storage of metadata, corresponding repository can be set, the repository is connected with application server 14, for depositing
Store up metadata.
Using Master-Slave frameworks or load balancing can be used between application server 14 and repository
Mode, to ensure the continuity of data application business.
Often there are some incidence relations (genetic connection) between data, can by the analysis to these incidence relations
To trace back to the source of data, and data evolutionary process.
In embodiments of the present invention, blood relationship formula analysis can be carried out to data, gets corresponding metadata rule, its
In, metadata rule can be used to indicate that the incidence relation between metadata.Accordingly, metadata rule can be stored in and matched somebody with somebody
Put in storehouse.
The synergy of application server and repository, realizes the metadata storage to big data and the group of metadata
Close management.For example, it is desired to get the cake chart of client's level of consumption, the multiple members relevant with client's consumption can be got
These metadata, according to metadata rule, are analyzed and processed, draw the cake chart on client's level of consumption by data.
By depth analysis of the application server to data, complex rule between data can be fully understood, is improved to big
The Utilization ability of data.
With the increase for the external data that the first interchanger is obtained, the memory space that corresponding metadata takes can also increase
Plus, in order to improve the memory space utilization rate of repository, for the relatively low metadata of some use value, it is appropriate to carry out
Cleaning.Specifically, the frequency of use of metadata can be counted by application server 14, when the frequency of use of the metadata is low
In predetermined threshold value, then the metadata is deleted from the repository.
Frequency of use can be used for the number of times for reflecting that metadata is called, the use valency of the higher explanation metadata of frequency of use
Value is higher.
Predetermined threshold value can be used to indicate that the lower limit of metadata frequency of use, when the frequency of use of metadata is pre- less than this
If during threshold value, then illustrating that the metadata does not possess too big use value, the metadata can be deleted from repository.
In above-mentioned introduction, the processing procedure for being directed to the external data of data assets management system reception expands introduction.
In addition to external data, internal data can be also produced for the inside of data assets management system, the internal data can reflect
All softwares of system, the running situation of hardware.Second switch and supervisor can be set in embodiments of the present invention, for being
The internal data of system is analyzed and processed.
Second switch can be used for obtaining internal data.For external data, the quantity amount phase of internal data
To smaller, second switch can use gigabit switch.
Second switch can be connected with supervisor, so that the internal data of acquisition is sent to the supervisor；It is described
Supervisor can be analyzed the internal data, when the internal data does not meet preparatory condition, then carries out alarm and carry
Show.
Preparatory condition can be intended to indicate that the index that system is normally run.When internal data does not meet the preparatory condition
When, then illustrate that the running situation of system software or hardware there is a problem.
In the specific implementation, corresponding alarm can be connected on supervisor, when detect internal data do not meet it is pre-
If during condition, then triggering the alarm and carrying out alarm.Can also be the alarm sound that correlation is set on supervisor, when
When detecting internal data and not meeting preparatory condition, then the alarm sound is played.
In view of it is possible that situation of the keeper not before supervisor, causes keeper can not know failure feelings in time
Condition.For this kind of problem, the email address of keeper can be pre-set in the supervisor, when detecting not meet default bar
During the internal data of part, then alarm email can be sent to the email address, in order to which keeper can know failure feelings in time
Condition.
In embodiments of the present invention, it be able to can be realized pair by the supervisor using 1-2 platforms server as supervisor
The monitoring of software and hardware running situation in system, so as to which the normal operation of system is effectively ensured, is reduced due to the system failure
The loss brought.
Supervisor can also realize pair with exterior gateway system in addition to it can realize the detection to internal system data
Connect.For example, it is possible to achieve with developer community, data assets co-operation platform.Data interaction center, data visualization platform etc. enter
The interaction of row data, realizes the Family administration of data assets.
From above-mentioned introduction, pass through the first interchanger, application server, repository, structural data processor, non-knot
The all-in-one machine structure form that structure data processor, second switch and supervisor are constituted, it is possible to achieve to data assets
Reliable management.
As shown in Fig. 2 be a kind of Organization Chart of the big data asset management system provided in an embodiment of the present invention, repository with
Application server can be in the way of application load balancing, it is ensured that the continuity of data service.The number of repository could be arranged to
Two, by the main synchronous modes of Mysql, realize the management to two repositories.10000000000 interchangers, gigabit switch difference
It is connected with fabric processor (using distribution MYSQL systems) and unstructured processor (use HBASE systems), can be with
Realize that the classification to structural data and unstructured data is handled.Supervisor is connected with gigabit switch, can pass through gigabit
Interchanger gets the internal data of system.By the all-in-one machine structure form shown in Fig. 2, software and hardware integration is realized, is made
Obtain hardware performance maximization to be utilized, the state that software performance is optimal.
A kind of big data asset management system provided above the embodiment of the present invention is described in detail.Specification
In each embodiment described by the way of progressive, what each embodiment was stressed be it is different from other embodiment it
Place, between each embodiment identical similar portion mutually referring to.For device disclosed in embodiment, due to itself and reality
Apply that method disclosed in example is corresponding, so description is fairly simple, related part is referring to method part illustration.It should refer to
Go out, for those skilled in the art, under the premise without departing from the principles of the invention, can also be to the present invention
Some improvement and modification are carried out, these are improved and modification is also fallen into the protection domain of the claims in the present invention.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software, generally describes the composition and step of each example according to function in the above description.These
Function is performed with hardware or software mode actually, depending on the application-specific and design constraint of technical scheme.Specialty
Technical staff can realize described function to each specific application using distinct methods, but this realization should not
Think beyond the scope of this invention.
Directly it can be held with reference to the step of the method or algorithm that the embodiments described herein is described with hardware, processor
Capable software module, or the two combination are implemented.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
Claims (8)
1. a kind of big data asset management system, it is characterised in that including the first interchanger, structural data processor, non-knot
Structure data processor and application server,
First interchanger is connected with the application server, for obtaining external data, at the external data
Reason, and the external data after processing is sent to the application server；The external data includes structural data and non-knot
Structure data；
The application server, for the external data after reception processing, and the information inputted according to user, to the knot
Structure processor or the unstructured processor send related data analysis instructions；
The fabric processor, for according to the data analysis instructions received, being deposited to the structural data
Storage, calculating, and result of calculation is sent to the application server；
The unstructured processor, for according to the data analysis instructions received, entering to the unstructured data
Row storage, calculating, and result of calculation is sent to the application server.
2. system according to claim 1, it is characterised in that also including repository,
The application server is connected with the repository, is additionally operable to analyze the external data after processing, is obtained
Corresponding metadata and metadata rule, and the metadata and metadata rule are sent to the repository；
The repository, for receiving and storing the metadata and metadata rule.
3. system according to claim 2, it is characterised in that the application server is additionally operable to count the metadata
Frequency of use, when the frequency of use of the metadata is less than predetermined threshold value, then deletes the metadata from the repository.
4. the system according to claim 1-3 any one, it is characterised in that also including second switch and supervisor,
The second switch is connected with the supervisor, is sent for obtaining internal data, and by the internal data to institute
State supervisor；
The supervisor, for analyzing the internal data, when the internal data does not meet preparatory condition, then enters
Row alarm.
5. system according to claim 4, it is characterised in that first interchanger is 10,000,000,000 interchangers.
6. system according to claim 5, it is characterised in that the second switch is gigabit switch.
7. system according to claim 6, it is characterised in that the structural data processor is using distribution MYSQL
System.
8. system according to claim 7, it is characterised in that the unstructured data processor uses HBASE systems.
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| CN201710400973.8A CN107145599A (en) | 2017-05-31 | 2017-05-31 | A kind of big data asset management system |
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| CN201710400973.8A CN107145599A (en) | 2017-05-31 | 2017-05-31 | A kind of big data asset management system |
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Application publication date: 20170908 |