What are the similarities and differences between the data center and the data warehouse?

The data middle office provides data service to the business system , The goal is to penetrate the data capability into all business links , Not limited to decision analysis scenarios ; The main scenario of data warehouse is to support management decision-making and business analysis . Compare data warehouse , What are the similarities and differences between data centers ？

One 、 What is data center ？

The data center is for the existing / New information system business and data precipitation , It is to realize the new business of data empowerment 、 The middle of new applications 、 Supporting platform . The deepest explanation for the data center is its “ Two things ”, namely ： Business digitalization and data commercialization , Formed after fitting the business development “ Four modernizations ”, namely ： Business data 、 Data capitalization 、 Asset Service 、 Service business .

The data center generally adopts a new data technology architecture , It is more convenient to mine data value . With the increasing amount of enterprise data , More and more intelligent scenarios , The storage and computing power of the traditional architecture cannot meet the needs of this kind of data business . And with AI 、 The development of Internet of things and other technologies , The ability to mine new value from seemingly useless data is becoming stronger and stronger , The new technical architecture provides a good capability support for the construction of these scenarios .

Two 、 What are the similarities and differences between data center and data warehouse ？

at present , There are many enterprises following the trend , Many original data warehouses + Data service enterprises in the data mart mode , It has become a data center , Finally, I found that the name had changed , Intermediate processing logic , The data processing idea has not changed , Or a widening table , Make a statement . therefore , What are the similarities and differences between the data center and the data warehouse ？

First , Conceptual differences . The data warehouse is thematic 、 Integrated 、 Changing over time 、 But the information itself is a relatively stable data set , Used to support the management decision process . From definition , The destiny of data warehouse is to support the management decision-making process , The best export is the group BI, So most textbooks will put data warehouse and business intelligence in one chapter . But the focus of the data center is more in line with the business , From business , Services and business , The support for the business is all-round , There are a variety of ways to provide .

secondly , The construction of data center includes the construction of data system , That is, the data center contains the complete content of the data warehouse , The data center maximizes the investment value of enterprise data warehouse construction , To accelerate the speed of data enabled business , Provide faster for business 、 More data services .

The data center continues to capitalize the data 、 Value and apply to the business , And focus on the operation of data value .

The data center can also use the built data warehouse as the data source , Docking with existing data construction achievements , Avoid repeated construction . Of course, it can also be based on the capabilities provided by the data center , By converging 、 machining 、 Manage various data sources , Build a new offline or real-time data warehouse .

in summary , The data center is more suitable for the business , Closer to the business side , It's not just built by the technology center , It also needs business participation , Data value can be generated in production activities .

Building Data Center , In essence, it is a kind of problem to be solved , Is to improve the efficiency of enterprise management , The compression cost , Better respond to rapid changes in the external environment , Ultimately create more business value . If your enterprise is trying to build a data center , Jetcode low code platform and powerful jetcode modular data products and services , It's a very worthwhile choice , It can provide customization 、 Solution level data access 、 Data development 、 Data governance 、 Data assets 、BI And other rich platform capabilities .