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Metadata management, the basic construction of enterprises in the digital era

2022-06-10 18:32:00 Bi visualization of Parker data

With the new generation of information 、 The application of digital technology , Many fields have realized deep digital transformation through scientific and technological revolution and industrial revolution , Enter the data driven , A new era of data processing , And through the business system 、 business intelligence BI And other digital technologies and applications have realized the data value , From the digital economy .

2020 year , Data status has been upgraded to follow the land 、 Labour 、 The fifth largest factor of production after capital and technology , Known as the oil of the digital economy era . without doubt , Data has in fact become an important asset of enterprises , A new management system is needed , Through business information systems or business intelligence BI And so on , At this time , Metadata management appears in front of enterprises .

What is metadata

In a more common sense, metadata means that enterprises manage business data better 、 Management data 、 Market data 、 User data and other related data assets , Acquire information knowledge , A set of data created to describe the relevant information of the data , That is to say, the data of data .

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A simple example , Everyone should have eaten packaged food like snacks , These packages usually have food names on them 、 brand 、 manufacturer 、 Place of Origin 、 Date of manufacture 、 The shelf life and other necessary basic information , There will also be nutrients 、 A detailed description of the ingredients list , It can help users quickly understand the products , Accurately find the required data information . So is metadata , It can easily help enterprises understand data , Find the relationship between the data , And conduct in-depth management .

What types of metadata

The growth of digitalization has not only brought unimaginable amount of data to the society , Also let the enterprise in the daily business process 、 Operation and management has stored a large amount of data through transmission , Different from before , Manual operation by personnel 、 Managing data is getting harder , And because the total amount of data increases 、 Increased data utilization 、 Data source extension , Enterprise data becomes more chaotic , It needs to be classified , Normalization 、 Standardized treatment .

Metadata can be roughly divided into three categories , Business metadata 、 Technical Metadata and management metadata . These three types of metadata correspond to data quality management 、 Business in data processing methods such as data governance 、 Technical and management perspectives , This is one of the reasons why the term "data of data" appears .

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Business metadata describes data from a business perspective , Generally, it is mainly reflected in the business definition 、 Business terms 、 Business indicators 、 Business rules, etc ;

Technical metadata describes data from a technical point of view , Generally, it is mainly represented by the data name 、 Field length 、 Field type 、 Data location 、 Data format, etc ;

Managing metadata is to describe data from a management perspective , Generally, the main performance is the source of data 、 Function of data 、 The person in charge of the data 、 The value of data, etc .

Why metadata management is needed

1、 Understanding and using data

With the increase of enterprise data , Different sources 、 Different formats 、 Different types of data exist in the enterprise , If you need to use it to turn data into assets , There will be a very embarrassing situation , Businesses that need to realize data value 、 Management and analysis personnel are not familiar with database related technologies and knowledge , Looking at the data 、 Call data 、 Data classification requires the assistance of technicians , Metadata management can serve as an aid , Describe the data in detail , Set up a data directory , Easy to understand and use data .

2、 Improve data quality

In the relationship between traditional business processes and databases , Business data is precipitated , If there is no good data processing or IT Information Department , It's easy to confuse the data in the database , Unable to distinguish the source of data 、 type 、 Effect, etc .

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Metadata management brings new methods to data management , From a business perspective , Data can be expressed in detailed indicators 、 Label form to describe , From a technical perspective , The length of data can be improved uniformly 、 type 、 Format and other standard mechanisms , From a management perspective , Data can be divided into different topics , To sell 、 operating 、 market 、 production 、 Describe and analyze enterprise data from different perspectives such as the whole .

3、 Digital upgrading

Because of the popularity of digitalization and the emergence of data value , Digital upgrading , Even the digital transformation of the enterprise as a whole has become the new demand of the enterprise at present and in the future . In traditional enterprise management , Because of the lack of information 、 Digital understanding , Related digital theory 、 methodology 、 technology 、 application 、 Software and so on are not concerned , In the digital age , These are not enough for the development of enterprises . Metadata management can precipitate data for enterprises and establish a perfect data standard management mechanism , Enable enterprises to realize data value , For example, applications ERP、OA Such as system , Digitalize business processes , Through business intelligence BI And so on , Provide information support for enterprise business and management .

The future of metadata management

According to statistics ,2020 The scale of global digital economy reached 32.61 Trillions of dollars , Occupy GDP Of the total 43.7%, Among them, the scale of China's digital economy has reached 5.4 Trillions of dollars , And maintain 9.6% High growth of , At a time when traditional economic growth is weak , It has become an important pillar of economic development .

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Besides , International data corporation (IDC) forecast ,2025 The amount of data generated in China is expected to reach 48.6ZB, The proportion in the world is 27.8%. future , Data will become the main competitive battlefield in the business world , Metadata management may be the key force in this war .

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