当前位置:网站首页>Datapipeline was selected into the 2022 digital intelligence atlas and database development report of China Academy of communications and communications
Datapipeline was selected into the 2022 digital intelligence atlas and database development report of China Academy of communications and communications
2022-07-05 13:06:00 【Ink Sky Wheel】

In recent days, , China academy of information and communications ( hereinafter referred to as “ China Academy of communications ”) The meeting was held in Beijing in conjunction with China Communications Standardization Association “ Open a new chapter in digital intelligence ——2022 Big data industry summit ”, Relevant technologies and industrial hotspots of logarithm intellectualization were discussed . At the meeting , China Academy of communications and communications officially released 《 Map of China's digital intelligence industry 》 And 《 Database Development Research Report (2022 year )》,DataPipeline By virtue of DataOps The forward-looking concept of the field 、 Deep product technical strength and rich practice , Double material selection .


《 Map of China's digital intelligence industry 》 It aims to comprehensively and objectively show the key fields and links in the digital intelligence industry , And representative enterprises in various fields .《 Database Development Research Report (2022 year )》 It focuses on the database policy of our country 、 Technology hotspots 、 Application, etc , And summarize and prospect the development of database in our country .DataPipeline Included in “ Data Infrastructure ” And “ Database peripheral tools / Platform provider ” plate .

meanwhile , At the main forum of the summit , Hebaohong, director of the Yunda Institute of the Chinese Academy of communications, released 《2022 Ten key words of big data 》,DataOps because “ Define new patterns for data development and Application ” In the third year, our ability was selected into the top ten keywords . As DataOps The deep practitioner of the idea ,DataPipeline Deeply agree with .
Up to now ,DataPipeline Has served Bank of China 、 China Minsheng Bank 、 China's oil 、 China Telecom 、 China life, ( overseas )、 Geely Group 、 Longhu group 、 CAITONG securities 、 Hengtai securities 、 Great Wall Motor finance 、 Foton Cummins and other hundreds of customers , Bank coverage 、 insurance 、 negotiable securities 、 energy 、 telecom 、 manufacture 、 real estate 、 retail 、 Internet and other industries .
DataPipeline Enterprise real-time data fusion platform relies on “ All data 、 Fast transmission 、 Strong synergy 、 More agile 、 Extremely stable 、 Easy maintenance ” Six outstanding characteristics , It has passed the big data product capability evaluation of China Academy of information and communication , be awarded 《 Special evaluation certificate of basic ability of data integration tools 》.
All data : Support comprehensive data node types
Support for relational databases 、NoSQL database 、 Domestic database 、 Data warehouse 、 Big data platform 、 Cloud storage 、API And other data node types , Customizable data nodes .
Fast transmission : High performance real-time processing
For different data node types TB Level throughput 、 Second level low latency incremental data processing capability , Accelerate the data flow of various scenarios of the enterprise .
Strong synergy : Layered management reduces cost and increases efficiency
use “ Data node registration 、 Data link configuration 、 Data task building 、 System resource allocation ” Hierarchical management mode , The construction cycle of enterprise platform is reduced from three to six months to one week .
More agile : Code free agile management
It provides more than ten kinds of advanced configurations, including restriction configuration and policy configuration , Including flexible data object mapping , The R & D delivery time of data fusion task is from 2 Week reduced to 5 minute .
Extremely stable : Extremely stable and highly reliable
Using distributed architecture , All components support high availability , Provide rich fault tolerance strategies , Respond to structural changes upstream and downstream 、 Data error 、 Network failure and other emergencies , It can ensure the business continuity of the system .
Easy maintenance : Efficient and comprehensive operation and maintenance
Equipped with containers 、 application 、 Threads 、 Four level business monitoring system , The panoramic cockpit guard mission runs stably . Automatic operation and maintenance system , Flexible expansion and contraction capacity , Reasonably manage and allocate system resources .
This time, I was selected , It's right DataPipeline Recognition of comprehensive strength . future ,DataPipeline We will still adhere to technology driven 、 Deep cultivation of enterprise services , Build on DataOps Concept of secure and trusted data management products , Help enterprises and organizations transform into digital intelligence .









Click on “ Read the original ”, Learn more about DataPipeline!边栏推荐
- Association modeling method in SAP segw transaction code
- A small talk caused by the increase of sweeping
- 非技术部门,如何参与 DevOps?
- Natural language processing series (I) introduction overview
- 聊聊异步编程的 7 种实现方式
- Taobao short videos are automatically released in batches without manual RPA open source
- Principle and configuration of RSTP protocol
- Introduction aux contrôles de la page dynamique SAP ui5
- MySQL giant pit: update updates should be judged with caution by affecting the number of rows!!!
- RHCSA10
猜你喜欢

SAP ui5 objectpagelayout control usage sharing

Developers, is cloud native database the future?

Introduction to sap ui5 dynamicpage control

946. Verify stack sequence

Talk about my drawing skills in my writing career

Le rapport de recherche sur l'analyse matricielle de la Force des fournisseurs de RPA dans le secteur bancaire chinois en 2022 a été officiellement lancé.

MySQL giant pit: update updates should be judged with caution by affecting the number of rows!!!

MSTP and eth trunk

How to protect user privacy without password authentication?

Pandora IOT development board learning (HAL Library) - Experiment 7 window watchdog experiment (learning notes)
随机推荐
函数的默认参数&函数参数的多种方法
Four common problems of e-commerce sellers' refund and cash return, with solutions
AVC1与H264的区别
How to realize batch sending when fishing
逆波兰表达式
Actual combat simulation │ JWT login authentication
Alibaba cloud SLB load balancing product basic concept and purchase process
初识Linkerd项目
Vonedao solves the problem of organizational development effectiveness
手把手带你入门Apache伪静态的配置
Insmod prompt invalid module format
Laravel document reading notes -mews/captcha use (verification code function)
Hiengine: comparable to the local cloud native memory database engine
RHCSA4
太方便了,钉钉上就可完成代码发布审批啦!
奔跑,开路
Concurrent performance test of SAP Spartacus with JMeter
我在滴滴做开源
jxl笔记
由扫地增而引起的小叙
