Why Do Enterprises Need Cloud-Native Technology & Agile Manufacturing of Data

Practices of Alibaba Cloud-Native

Cloud-native provides a variety of technology options for enterprises driven by CNCF, relevant domestic open sources, and third-party organizations. The question is, which one can be chosen to achieve the goal of production availability? When our business needs to go online in a short period and in a time of rapid business development, what kind of architecture and open-source products should be selected? This a problem technical decision-makers and architects of many enterprises face regularly Alibaba Cloud Summit.

In the cloud-native field, Alibaba Cloud started exclusive development earlier. From 2006 to 2009, when the development of Internet middleware began, and during the official establishment of Alibaba Cloud, we solved many business problems through cloud-native. Alibaba Cloud realized the rapid development of Taobao in its early days and the construction of Alibaba's middle platform in 2015 by applying cloud-native technologies. Now, the production system and core systems are all migrated to the cloud. The cloud-native technologies used in this process, such as container technology and microservice technology, support more than one million businesses Alibaba Cloud Summit.

Such scale of cloud-native implementation may not be achievable by most enterprises, especially for those that have a similar scale with Alibaba. However, by solving the performance and stability problems at such a large scale, Alibaba has accumulated a wealth of industry-leading technologies. Finally, Alibaba has applied these technologies to products publicly available to customers from all walks of life through Alibaba Cloud Alibaba Cloud Summit.
For more information, please check the official documentation.

1. One Data Development Procedure

The following are the situations that enterprises encounter when they reach a certain stage of development Alibaba Cloud Summit:

1) Data comes from data centers in different regions. For example, the data is scattered since there are Alibaba Cloud Summit public cloud and Alibaba Cloud Apsara Stack. The enterprises also have their private domains for external customers and partners.

2) Big Data engines are diversified. It is difficult to choose the best one. Alibaba Cloud Summit provides a wide range of products, such as SaaS-based cloud data warehouse MaxCompute, Hologres, and AnalyticDB. Some open-source products, such as EMR, CDH, Flink, and Elasticsearch, are also available. Therefore, enterprises should choose them according to their needs.

3) How can data be integrated better with AI and applications? AI algorithms are also needed so the data processed by big data products can be applied in a service-oriented manner. Thus, BI and AI are integrated to unleash the data value Alibaba Cloud Summit.
2. One Standard Data Architecture
For enterprises, data is never simply piled up. Alibaba Cloud Summit builds a data middle platform, standardizes, and unifies the group's data architecture. This architecture divides the data with a clear scope and boundary at each layer. At the Operational Data Store (ODS) layer, enterprises gather data from all domains and retain all the raw data. At the integration layer, enterprises establish data standardization systems through data standards and data modeling. At the Data Warehouse Summary (DWS) layer, enterprises summarize data based on business requirements to extract common data metrics. At the Application Data Store (ADS) layer, a data mart is built for frontend business applications to provide continuous high-quality data services for applications. This architecture is not capable of productization but enterprises can replicate this standard data architecture quickly based on DataWorks Alibaba Cloud Summit.

3. One Data Governance System
How do enterprises manage data assets? How can enterprises guarantee data quality and data security? How can enterprises control costs and reduce unnecessary waste effectively? These problems make it more challenging for data governance. Normally, all kinds of data governance work can also be done manually. Alibaba Cloud processes more than 1.7 EB of data and tens of millions of scheduling tasks every day, which cannot be done manually. DataWorks can do the job based on more than a decade of data governance experience from Alibaba Group. It provides comprehensive-procedure governance functions needed in data processing and utilization, such as model design, data quality management, metadata management, and security management. A complete and systematic set of capabilities are implemented on one platform Alibaba Cloud Summit.
For more information, please check the official documentation.

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