The four trends and three key points of the data platform construction mode are summarized

The data center and the business center complement each other , Jointly support front-line business . In addition to the statistical analysis and decision support functions of the traditional data platform , It will focus more on providing intelligent data services for front-line transaction businesses , Support enterprise process intelligence 、 Intelligent operation and business model innovation , Realization “ Business digitalization and data commercialization ”.

Recent years , There are many new trends in the field of data application . The construction mode of data center is also changing with these trends , Mainly reflected in the following 4 spot .

1. Data application technology is developing rapidly

In recent years, a large number of new data application technologies have emerged , Such as NoSQL、NewSQL And distributed database , And data acquisition 、 data storage 、 Big data related technologies such as data modeling and data mining . These technologies are increasingly capable of solving business problems , But it also increases the complexity of technical implementation .

2. Data architecture is more flexible

After the transformation from monomer to micro service architecture , Great changes have also taken place in enterprise business and data form , Data architecture has changed from centralized architecture to distributed architecture .

3. Data sources are more diversified , More diversified data formats

With the networking of vehicles 、 The Internet of things 、LBS And the introduction of data such as social media , Data sources have changed from single business data to complex multi-source data , The data format has also changed from structured , Change to the direction of mixing structured and unstructured modes .

4. Data intelligence will be applied more and more widely

In the context of digital new infrastructure , In the future, enterprises will collect data under various modes , With the help of intelligent technologies such as deep learning and artificial intelligence , Optimize business processes , Realize the intellectualization of business process , Improve user experience through user behavior analysis , Achieve precision marketing 、 Anti fraud and risk control , Realize digital and intelligent product operation and AIOps etc. , Improve the level of enterprise digital intelligence .

Facing the complex data field , How to build a data center to manage and make good use of these data ？

Most of the data in the data center comes from the business center , After data modeling, data analysis and other operations , The processed data , Return to the business center to provide data services for the foreground applications , Or directly provide it to the foreground application in the form of data application API Data services .

The data center generally includes data acquisition 、 Data integration 、 Data governance 、 Data application and data asset management , In addition, there are data standards and index construction , And technology applications such as data warehouse or big data .

in summary , The construction of data center needs to do the following 3 Work on .

1. Establish a unified enterprise level data standard index system

Solve the problems of diversified data sources and inconsistent standards . Under the unified data standard , Complete data collection in a standardized and orderly manner 、 Data modeling 、 Data analysis 、 Data integration 、 Data application and data asset management .

2. Establish data research and development 、 Technology management system

Establish data research and development that is compatible with the enterprise's capabilities 、 analysis 、 Application and asset management technology system . Combine the enterprise's own technical capabilities and data application scenarios , Choose the appropriate technical system to build the data center .

3. Build a data center that supports front-line business

After microservicing in business , Although it improves the high availability of applications , But with the splitting of data and applications , More data islands will be formed , It will increase the difficulty of application and data integration . While building the business platform , It is necessary to synchronously start the construction of data center , Integrate business data , Eliminate the data islands between the core business chains of different business segments , To provide unity to the outside world 、 Consistent data services . use “ Business + data ” Dual midrange mode , Support the business 、 Integration of data and process .

The investment in data is relatively large , The revenue cycle is long , But it will bring great business value to the enterprise , It is also an important foundation for the future digital operation of enterprises . Enterprises can meet the needs of business development , Set phased goals , step 、 Integrate existing data platforms in a planned way , Promote the construction of data center in an evolutionary way .