Homegrown strength showcased! GBase's Big Data Platform project for Agricultural Bank of China wins another award.
Recently, the 2017 FinTech • Business Value Exploration Summit was held at the Renaissance Shanghai Longemont Hotel, co-hosted by Data Ape and the Internet Inclusive Finance Research Institute.
At the conference, four major awards were presented: the "Golden Ape" Big Data Outstanding Cases for Technological Innovation, Application Innovation, Best Practice, and the 2017 FinTech • Data Ape Column Excellent Article Award.
GBase’s case “Agricultural Bank of China Big Data Platform Project – Massive Data Complex Computing Processing” won the “2017 FinTech • Big Data Outstanding Cases – Technological Innovation Case Award.”
Chen Yuming, General Manager of GBase’s Financial Business Unit, accepted the award on behalf of GBase
“The overall framework of this case covers the data source layer, data exchange layer, data processing layer, data mart layer, data service interface layer, and data application layer. It has distinct layers, comprehensive planning, and sound technology. Highlights include a hybrid architecture and MPP cluster active-active configuration, achieving excellent utility and value. The platform is a fully self-manageable and controllable big data platform that has obtained certain qualification certifications and demonstrates a high level of technical sophistication.”
— Industry Expert Review Panel
Case Value
This is China’s largest data warehouse and big data platform in the financial industry, and it marks the first deployment of a domestically developed database in the core business system of a Big Four bank. As the core architecture of the ABC Big Data Platform, GBase 8a MPP Cluster delivers massive data processing power, providing users with a cost-effective massively parallel complex data processing platform. It helps build a unified view of business data at the petabyte scale and delivers timely, efficient data analysis results. Its high performance and highly scalable system architecture ensure that more comprehensive business data can be integrated to meet the analytical needs of marketing, internal management, and internal/external supervision. Its high compression ratio gives users the ability to manage massive data with compact compressed storage, further reducing the cost of data warehouse construction. Its high reliability and high availability include the world’s first active-active cluster at the petabyte data scale, which has ensured the continuous, stable operation of ABC’s big data platform for over 600 days.
ABC Big Data Platform Overall Architecture Diagram
Through ongoing market practice and user feedback, this case demonstrates the following outstanding value points:
Primary Value
This is China’s largest data warehouse and big data platform in the financial industry, and it is also the first time a domestically developed database has been deployed in the core business system of a Big Four bank.
Secondary Value
Speed: Query and analysis performance improved by 10–100x
Storage savings: Storage space reduced by 50%–90%
Cost savings: Hardware and software investment reduced by 50–90%, power consumption cut by 30%–50%
Cloud-ready: Supports cloud computing architecture with horizontal scalability
Full-text: Integrated full-text search, management of semi-structured data (cloud files)
Unstructured: Structured extraction and transformation of unstructured data
All Data: Unified processing of structured, semi-structured, and unstructured data
Visualization: GBase BI, a visual analysis platform
GBase 8a has achieved large-scale market adoption in telecommunications, finance, and government sectors, including China Mobile, China Unicom, China Telecom, CBIRC (China Banking and Insurance Regulatory Commission), Ministry of Public Security, Ministry of State Security, MIIT, State Taxation Administration, State Oceanic Administration, CNPC, and others.