In order to further accelerate the construction of the innovation ecosystem for the application of information technology and cultivate credit and innovation talents in the financial field, the Financial Credit and Creation Ecological Laboratory organizes various manufacturers to hold financial credit and creation training. On November 16, 2021, NTU GM was invited to conduct an online training with the theme “Introduction to GBase 8a Converged Data Warehouse and its Application and Practice in Financial Credit Creation”.
This training was explained by GBase 8a product manager Bai Junkui and lasted 2 hours. It introduced in detail the development of data warehouses, the core technology of large-scale distributed database products (GBase 8a MPP Cluster) and typical cases in financial credit creation. More than 100 people participated Online training, good feedback.
The data warehouse has evolved from the original minicomputer and shared storage architecture to a federated architecture with a very high level of scalability of Share nothing+MPP, and then to a logical data warehouse architecture integrated with NoSQL and streaming data technology and cloud native. Several warehouse products. After decades of continuous development, it continues to evolve toward the integration of multiple technologies such as full data, real-time processing, and extreme elastic expansion, such as high-performance, high-security, and cross-domain deployment.
The converged data warehouse GBase 8a independently developed by NTU General Motors is a mature analytical MPP data processing system in the big data era. It has passed the TPC-DS benchmark test and has been on the list with a performance QphDS score of 8944478. It has become the official TPC-DS official list tester. The number of test nodes used is the least, the average single-core computing power is the first, and the loading performance is the best.
GBase 8a MPP Cluster has a federated architecture, massively parallel computing, massive data compression, efficient storage structure, intelligent indexing, virtual clusters and mirroring, flexible data distribution, complete resource management, online rapid expansion, online node replacement, high concurrency, Technical features such as high availability, high security, easy maintenance, and efficient loading. The ability to meet the increasing needs of data analysis, data mining, data backup, and ad hoc query in various data-intensive industries. It can be used as the bearing database of data warehouse system, BI system and decision support system.
GBase 8a MPP Cluster has been applied on a large scale in industries with massive business data such as finance, telecommunications, and energy, with more than 25,000 nodes deployed and more than 200PB of data managed. It currently has more than 80 users in the financial industry. Through the successful application of the big data platform of state-owned big banks, the data warehouse of large insurance companies, and the joint-stock bank audit system, it fully proves that GBase 8a MPP Cluster can meet the needs of financial credit creation. Banking, insurance, etc. demand for big data analysis scenarios.
Through the training platform of the Financial Xinchuang Ecological Laboratory, we hope to introduce the GBase database to more financial industry users, so that the excellent domestic database can be used in more projects, in order to realize the domestic Contribute to the ecological environment!
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