CN113934705A - Data center, data asset construction method and related device - Google Patents
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Abstract
The invention discloses a data middlebox, a data asset construction method and a related device. The data middle desk comprises a pasting layer, a middle layer, a data asset layer and an application data layer, wherein the data asset layer is used for separating a business main key and an asset attribute of an asset entity and associating the business main key and the asset attribute when data assets are built. The embodiment of the invention provides a new data asset construction mode, and can further improve various performances of a data center.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data middlebox, a data asset construction method and a related device.
Background
Some software systems have been established through information and government/Enterprise information for many years, such as CRM (Customer Relationship Management), ERP (Enterprise Resource Planning), OA (Office Automation), HR (Human Resources), supply chain Management system, logistics system, e-commerce system, integration portal, decision support system, and the like, and a large amount of data assets are reserved. However, due to the difference of the establishment time, in addition to the cloud of enterprises in recent years, the Software as a Service (SaaS as) application is adopted, the systems are connected with more company Service providers, and data are distributed on line and off line, even inside and outside the enterprises, so that the difficulties are brought to data analysis and application.
DW (Data Warehouse)/BI (Business Intelligence) is a methodology, solution and tool chain for reorganizing and reprocessing Data and supporting Business decisions based on Data perspective. The method has four conceptual attributes of theme orientation, integration, relative stability, reaction history change and the like.
Data warehouses have a historical nature in which the data stored is mostly structured data. And the occurrence of the data middle station solves the problems that the data warehouse can not process unstructured data and the report development cycle is long. The data center is closer to the service, and can respond to the service and the application development requirement more quickly, so that the service with higher speed is provided for the service; the data warehouse is used for supporting management decision analysis, and the data center station provides the data to the business system after serving the data, so that the data warehouse is not limited to an analysis type scene, but also suitable for a transaction type scene; the data center can be built on a data warehouse and a data platform, and is a middle layer for accelerating the process of the enterprise from data to business value.
Disclosure of Invention
The invention mainly solves the technical problem of providing a data middlebox, a data asset construction method and a related device, which are used for providing a new data asset construction mode.
The invention provides a data center platform which comprises a pasting layer, a middle layer, a data asset layer and an application data layer, wherein the data asset layer is used for separating a business main key and an asset attribute of an asset entity and associating the business main key and the asset attribute when data assets are built.
Optionally, the data asset layer includes the following data tables:
the system comprises an asset entity table, a service key table and a service key table, wherein the asset entity table is used for storing asset entity data and comprises an asset entity unique identifier, an entity service key and a deletion identifier, and the entity service key comprises a service primary key;
an asset attribute table for storing asset attribute data;
and the attribute change tracking table is used for recording and tracing the asset attribute change data.
Optionally, the data asset layer is configured to build data assets according to the following procedures: registering an asset entity with a database; acquiring an entity object number returned by the database, generating an asset entity unique identifier, and storing the asset entity unique identifier in an asset entity table; acquiring asset attribute data from the source layer and storing the asset attribute data in an asset attribute table; and associating the business primary key of the asset entity with the asset attribute.
Optionally, the data center station further includes: in the process of building data assets, a paradigm modeling method is adopted to determine and record asset entity relationships.
The second aspect of the present invention provides a data asset construction method, which is used for a data center station, wherein the data center station includes a source layer, a middle layer, a data asset layer and an application data layer, and the method includes: when the data assets are built, the business main key and the asset attributes of the asset entity are separated, and the business main key and the asset attributes are associated.
Optionally, the data asset layer includes the following data tables:
the system comprises an asset entity table, a service key table and a service key table, wherein the asset entity table is used for storing asset entity data and comprises an asset entity unique identifier, an entity service key and a deletion identifier, and the entity service key comprises a service primary key;
an asset attribute table for storing asset attribute data;
and the attribute change tracking table is used for recording and tracing the asset attribute change data.
Optionally, the data asset layer builds the data asset according to the following procedures: registering an asset entity with a database; acquiring an entity object number returned by the database, generating an asset entity unique identifier, and storing the asset entity unique identifier in an asset entity table; acquiring asset attribute data from the source layer and storing the asset attribute data in an asset attribute table; and associating the business primary key of the asset entity with the asset attribute.
Optionally, the method further includes: in the process of building data assets, a paradigm modeling method is adopted to determine and record asset entity relationships.
In a third aspect of the present invention, there is provided a computer device comprising a processor and a memory, wherein the memory stores a program, the program comprises computer executable instructions, and when the computer device runs, the processor executes the computer executable instructions stored in the memory to make the computer device execute the data asset construction method as described above.
In a fourth aspect of the present invention, there is provided a computer storage device storing a program which, when executed by a computer device comprising a processor, causes the computer device to perform the data asset construction method as described above.
According to the technical scheme, the embodiment of the invention has the following advantages:
the invention improves the mode of constructing the data assets, separates the business main key of the asset entity from the asset attribute and associates the two attributes when the data assets are constructed so as to deal with the change of the business environment and further improve various performances of the data middle station.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the embodiments and the drawings used in the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a diagram of a technical architecture of a data center in an embodiment of the present invention;
FIG. 2 is a schematic diagram of the hierarchical construction of a data center in an embodiment of the present invention;
FIG. 3 is a hierarchical and object-descriptive diagram of stations in data in an embodiment of the invention;
FIG. 4 is a flow chart of data asset construction for a data center station in an embodiment of the present invention;
FIG. 5 is a data structure diagram of unique identification of data assets, attributes of data assets, and registration of data assets in an embodiment of the invention;
FIG. 6 is a schematic diagram of full amount entry and incremental attribute data in an embodiment of the present invention;
FIG. 7 is a diagram illustrating a first scenario in an embodiment of the present invention;
fig. 8 is a schematic diagram of a second scenario in the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," and the like in the description and in the claims, and in the above-described drawings, are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The following are detailed descriptions of the respective embodiments.
The embodiment of the invention provides a data center station. The data center platform is a fusion solution integrating a data technology platform, data assets and data; based on a technical platform, data assets are constructed, data service supply is provided, and the data service system aims to realize data all-field sharing and promote data business distant view landing.
As shown in fig. 1 to 3, the data center is divided into a plurality of layers, including:
overlay Data Store (ODS): the data of the source layer is consistent with the data source, and the influence of deletion of the data source to be processed on the data of the source layer is caused; the layer includes: the homologous table is a data table with the same name as the data source, and the recorded data is consistent with the data source; a temporary table temporarily storing a table of incremental data; a partition table for persistently storing the full data and partitioning according to a certain field;
intermediate layer, i.e. intermediate result layer (STG): as an intermediate result buffer layer, no service is provided directly to the outside; the layer is a data layer for the intermediate data landing according to the data processing requirement, and comprises: an intermediate result table for storing intermediate results;
a Data Asset layer (DA) which is used as an enterprise Data Asset (internal Asset, external Asset and internet Asset) precipitation layer, realizes Data pull-through in the whole field by taking sharing as a target, eliminates Data ambiguity and builds the enterprise Data Asset; the layer includes: the system comprises an asset entity table, a service key and a service key, wherein the asset entity table is used for storing asset entity data and comprises an asset entity unique identifier (entity _ id), an entity service key and a deletion identifier, and the entity service key comprises a service primary key; an asset attribute table for storing asset attribute data; an attribute change tracking table (optional) for recording and tracing asset attribute change data;
application data layer (APP): the personalized data layer for different applications comprises: personalized data tables generated for different data applications;
data service: the application data layer provides data service for the external business application of the data center station through an API, an ETL and other modes; and the number of the first and second groups,
data center internal data applications such as bi (Business Intelligence), dmp (data management system), and the like.
The basic technical concept of the technical scheme of the invention is as follows: the Data asset layer separates the main business key of the asset entity from the asset attribute and associates the main business key and the asset attribute to deal with the change of the business environment when the Data asset is established based on a Data Vault (electronic Data warehouse) Data model.
As shown in fig. 4, the construction flow of the data asset in the data asset layer includes:
registering an asset entity with a database, such as a META DB;
acquiring an entity object number returned by the database, generating an asset entity unique identifier (entity _ id), storing the asset entity unique identifier and an entity service key and the like in an asset entity table;
acquiring asset attribute data from the source layer and storing the asset attribute data in an asset attribute table;
and associating the business primary key of the asset entity with the asset attribute.
Referring to fig. 5, data structures of data asset unique identification, data asset attributes, and data asset registration are shown, respectively; referring to FIG. 6, a schematic diagram of full quantity entry and delta attribute data is shown.
It is worth to be noted that the data asset modeling idea in the embodiment of the present invention is as follows:
1. belongs to a variant of the Data Vault modeling method:
a link (association) link is cancelled, the entity relationship is solved by adopting a classical processing method of normal form modeling, and the asset entity relationship is determined and recorded; the method greatly improves the model usability while keeping the understandable and traceable characteristics of the model.
2. Introducing an asset registration model:
by performing asset entity registration with the META DB database, clean and tidy configuration of platform asset models and regularized configuration of data loading in data can be guaranteed with minimal cost.
3. The model, data loading and underlying storage scheme are loosely coupled.
For convenience of understanding, the embodiment of the present invention further provides the following application scenario examples.
(1) Scene example one: and (4) building a house source entity of the marketing system, as shown in fig. 7.
(2) Scene example one: main data development project asset construction, as shown in fig. 8.
The embodiment of the invention discloses a data center station. The key point of the invention is a mode for constructing Data assets based on a self-developed Data model (Data Vault), and when the Data assets are built, the business main key and the asset attributes of an asset entity are separated and are associated to cope with the change of a business environment.
The business value of the station in this data (business innovation, forming the core barrier) includes:
1. customer-centric driving enterprise robust actions with insights
2. Data-based, direct large-scale business model innovation
3. The total data of the disc activities, the construction of solid barriers and the like are continuously advanced
The technical values (low cost, high capacity and wide application) of the data center station comprise:
1. handling the need for multiple data processing
2. Enrich the label data and reduce the management cost
3. Data value can reflect business system effects rather than just accuracy
4. Supporting access to data across subject domains
5. Data can be multiplexed quickly, not only duplicated
The embodiment of the invention also provides a data asset construction method, which is used for the data middlebox, and the method comprises the following steps: when the data assets are built, the business main key and the asset attributes of the asset entity are separated, and the business main key and the asset attributes are associated.
Optionally, the data asset layer includes the following data tables:
the system comprises an asset entity table, a service key table and a service key table, wherein the asset entity table is used for storing asset entity data and comprises an asset entity unique identifier, an entity service key and a deletion identifier, and the entity service key comprises a service primary key;
an asset attribute table for storing asset attribute data;
and the attribute change tracking table is used for recording and tracing the asset attribute change data.
Optionally, the data asset layer builds the data asset according to the following procedures: registering an asset entity with a database; acquiring an entity object number returned by the database, generating an asset entity unique identifier, and storing the asset entity unique identifier in an asset entity table; acquiring asset attribute data from the source layer and storing the asset attribute data in an asset attribute table; and associating the business primary key of the asset entity with the asset attribute.
Optionally, the method further includes:
in the process of building data assets, a paradigm modeling method is adopted to determine and record asset entity relationships.
The embodiment of the present invention further provides a computer device, which includes a processor and a memory, where the memory stores a program, and the program includes computer execution instructions, and when the computer device runs, the processor executes the computer execution instructions stored in the memory, so as to make the computer device execute the data asset construction method described above.
Embodiments of the present invention also provide a computer storage device storing a program, which, when executed by a computer device including a processor, causes the computer device to execute the data asset construction method as described above.
The technical solution of the present invention is explained in detail by the specific embodiments above. In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
It should be understood that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same. The technical solutions described in the above embodiments can be modified or part of the technical features can be equivalently replaced by those skilled in the art; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The data center station comprises a pasting layer, a middle layer, a data asset layer and an application data layer, and is characterized in that the data asset layer is used for separating a business main key and an asset attribute of an asset entity and associating the business main key and the asset attribute when data assets are built.
2. The data center of claim 1, wherein the data asset layer comprises the following data tables:
the system comprises an asset entity table, a service key table and a service key table, wherein the asset entity table is used for storing asset entity data and comprises an asset entity unique identifier, an entity service key and a deletion identifier, and the entity service key comprises a service primary key;
an asset attribute table for storing asset attribute data;
and the attribute change tracking table is used for recording and tracing the asset attribute change data.
3. The data center of claim 2, wherein the data asset layer is configured to build data assets according to the following process:
registering an asset entity with a database;
acquiring an entity object number returned by the database, generating an asset entity unique identifier, and storing the asset entity unique identifier in an asset entity table;
acquiring asset attribute data from the source layer and storing the asset attribute data in an asset attribute table;
and associating the business primary key of the asset entity with the asset attribute.
4. The data center of claim 3, further comprising:
in the process of building data assets, a paradigm modeling method is adopted to determine and record asset entity relationships.
5. A data asset construction method is used for a data center station, wherein the data center station comprises a pasting layer, a middle layer, a data asset layer and an application data layer, and the method comprises the following steps:
when the data assets are built, the business main key and the asset attributes of the asset entity are separated, and the business main key and the asset attributes are associated.
6. The method of claim 5, wherein the data asset layer comprises the following data tables:
the system comprises an asset entity table, a service key table and a service key table, wherein the asset entity table is used for storing asset entity data and comprises an asset entity unique identifier, an entity service key and a deletion identifier, and the entity service key comprises a service primary key;
an asset attribute table for storing asset attribute data;
and the attribute change tracking table is used for recording and tracing the asset attribute change data.
7. The method of claim 6, wherein the data assets layer builds data assets according to the following process:
registering an asset entity with a database;
acquiring an entity object number returned by the database, generating an asset entity unique identifier, and storing the asset entity unique identifier in an asset entity table;
acquiring asset attribute data from the source layer and storing the asset attribute data in an asset attribute table;
and associating the business primary key of the asset entity with the asset attribute.
8. The method of claim 7, further comprising:
in the process of building data assets, a paradigm modeling method is adopted to determine and record asset entity relationships.
9. A computer device comprising a processor and a memory, the memory having stored therein a program comprising computer-executable instructions that, when executed by the computer device, are executed by the processor to cause the computer device to perform the method of any of claims 5-8.
10. A computer storage device storing a program which, when executed by a computer device comprising a processor, causes the computer device to perform the method of any of claims 5-8.
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