Introduction:On May 29, at the Alibaba cloud developer conference, Alibaba cloud database announced the new brand concept of “cloud native database 2.0: one-stop full link data management and service” and the ability of open source cloud native database, and put forward the concept of one-stop online data management platform from the perspective of customer scenarios for the first time.
At present, Alibaba cloud has the most powerful and rich cloud database product family in China, covering four sections: relational database, non relational database, data warehouse and database ecological tools. It can provide full link life cycle services for enterprise data production and integration, real-time processing, analysis and discovery, development and management.
Data production and integration
Data production and integration is the first life cycle of data. Like a newborn, data must first go through collection, then storage and processing. Alibaba cloud data transmission DTS, data management DMS and database backup DBS constitute the basic capabilities of data production and integration. Through the unified management of the hybrid cloud of 30 + data sources, various solutions such as data collection, real-time transmission of heterogeneous data, multi activity in different places, data cross cloud backup or backup to the cloud can be realized. Through the database Devops capability provided by DMS, data security and R & D collaboration efficiency can be improved.
Real time data processing
After completing the production and integration of data, the real-time processing of data naturally comes. How to ensure that the application is always online and the data is never lost in the online transaction scenario must be the most concerned problem. Alicloud database provides different choices here.
Alibaba cloud RDS is the largest and most stable cloud database in China. It supports mysql, PG, SQL server and other engines, supports the rapid development of Alibaba economy for more than ten years, and provides 99.99% high availability and RPO = 0 enterprise level capabilities. In the era of cloud native database 2.0, the biggest feature of Alibaba cloud RDS is to provide enterprise level database autonomy. Through AI and machine learning technology, Alibaba cloud RDS has built an automatic driving database platform to support automatic problem repair and automatic tuning.
Alibaba cloud’s self-developed cloud native relational database polardb adopts the design of separation of storage and computing and integration of software and hardware. It not only has the low-cost advantage of distributed design, but also has centralized ease of use, which can meet the needs of large-scale application scenarios. The computing power can be expanded to more than 1000 cores, and the storage capacity can be up to 100TB. The clustered single library can be expanded to 16 nodes at most, and the performance is 6 times higher than that of MySQL. Polardb series products have stably supported tmall double 11 for many years, with a record processing peak of 140 million times / s.
Data analysis and discovery
After accumulating a large amount of transaction data, how to find information in the data and create greater value for the business comes to the life cycle stage of data analysis and discovery.
The cloud native data warehouse analyticdb, based on the storage and computing separation architecture, integrates offline. One stored data meets a variety of computing capabilities such as interactive analysis, real-time update, high concurrency point query and offline computing, and solves the problems of complex architecture, high construction threshold and high cost of traditional analysis system. 1TB can be as low as 114 yuan / month. Cloud native database 2.0 can also discover and analyze offline data through data Lake Technology to build a lake warehouse integrated solution.
Data development and management
Finally, data development and management. Through data management service DMS, enterprises can uniformly manage online data assets, including metadata management, security desensitization and kinship analysis, so as to realize the ability of low threshold warehouse building on demand and agile analysis.
The biggest change brought by the one-stop online data management platform is that enterprises can manage large amounts of data in the way of database. DMS manages the database and data warehouse in a unified way, allowing data to flow freely. Different from traditional data integration, DMS can not perceive the link in the operation and maintenance changes such as DDL or capacity expansion of the source database, and has built-in ETL capability to shorten the data link. At the same time, it can also directly use the table of the source database as the data warehouse ODS layer to participate in the calculation through cross database query, so as to avoid the problem of data physical relocation and truly realize warehouse building and agile analysis on demand. DMS also supports flexible task arrangement, data development and report display. With data accumulation, DMS can periodically archive data to the cloud native multi-mode database lindorm or OSS, use data Lake analysis to mine the value of DBS backup data, manage the data throughout its life cycle, and give full play to the data value.
The one-stop online data management platform will greatly reduce the threshold of enterprise data processing and analysis, help enterprises give better play to the value of data and help enterprises make digital transformation by uniformly managing online data assets, carrying out full link security and blood relationship management, and building the storage and computing capacity of warehouse and offline integration.
Li Feifei, head of Alibaba cloud databaseSaid: “cloud native database 2.0, we want toData management and service from atomic product differentiation to one-stop full link, so that developers and customers can explore value from data and make data flow seamlessly, which is our concept and mission. “
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