The Enterprise Data Center is hailed as the next big thing in big data, originating from Alibaba and centered around the core idea of data sharing. Now, it seems everyone is talking about the enterprise data center, but not everyone is clear on what it truly means.
What is the Center?
To answer what an enterprise data center is, we first need to delve into what exactly an enterprise data center entails. An enterprise data center, by abstracting business, data, and technology, reuses service capabilities to build enterprise-level service capabilities, eliminates barriers between various business departments and subsidiaries within the enterprise, and adapts to the business diversification development strategy of enterprises, especially large corporate groups. Based on the enterprise data center, front-end applications for consumers and customers can be rapidly developed, thus satisfying various personalized front-end needs and providing a clear path for the digital transformation of the enterprise.
From a technical systems perspective, the core is an enterprise-level shared service platform. Traditional IT systems or suites have not paid much attention to the reuse and sharing of system capabilities, so enterprises have introduced and built multiple silo-type systems with redundant functions over the years during their informationization process. However, an enterprise data center requires fine-grained analysis of capabilities, identification of shared capabilities, and the construction of a unified platform for these shared capabilities. Therefore, an enterprise data center is not just the service-oriented approach of a single system.
In summary, the corporate data center serves as a hub of capabilities and the sharing of those capabilities. It builds a decentralized business on a centralized foundation, fosters connectivity, and provides unified services to various operations. Therefore, any platform that transforms a company's diverse resources into user-friendly capabilities, serving as a platform for "user-centric" digital transformation, is a corporate data center.
What is an Enterprise Data Center?
Data is generated from business systems, and these systems also require the results of data analysis. Could the data storage and computing capabilities of the business systems be extracted and provided by a separate data processing platform? This would not only simplify the complexity of the business systems but also allow each system to adopt more suitable technologies, focusing on what they do best. This specialized data processing platform is the enterprise data center.
The corporate data center is a platform that connects big data computing and storage capabilities through technology, and connects data application scenarios through business.
"Connectivity is the essence of the corporate data center. As a platform at the intermediate layer, 'connection' is its fundamental task. On the business level, it's crucial to connect various data sources as production materials; simultaneously, with the increasing scenarios of production data, covering both online and offline channels, the connection between different data sources is also necessary to form a comprehensive data domain. After standardized processing and modeling on this platform, data in the corporate data center needs to serve multiple scenarios, which also requires us to provide standardized data service interfaces to link data with application scenarios. Therefore, connectivity is the fundamental capability of the corporate data center, and where its value lies."
The corporate data center collects, computes, stores, and processes massive amounts of data through data technology, while also unifying standards and specifications.
After consolidating data across the enterprise data center, standardized data is created and stored, forming a big data asset layer, which then provides effective services to clients. These services are highly relevant to the business of the enterprise and are uniquely owned and reusable by the company.
What does the corporate data center solve?
In data development, changes to the core data model are relatively slow, and the workload for data maintenance is substantial; however, the pace of business innovation and the changing demands on data are quite rapid.
The emergence of the corporate data center is designed to bridge the gap between data development and application development, addressing the issue of inadequate responsiveness due to mismatched development speeds.
