On December 20, the results of the 7th Big Data "Galaxy" case collection organized by the China Academy of Information and Communications Technology and the Big Data Technology Standards Promotion Committee of the China Communications Standards Association (CCSA TC601) were officially released. Aloudata stood out and jointly declared two data fabric best practice achievements with China Merchants Bank, a benchmark customer, and were both awarded "benchmark cases". Among them, "China Merchants Bank's Model Optimization and Change Collaborative Application Practice Based on Column Operator Lineage" was selected as "Data Asset Management Benchmark Case", and "China Merchants Bank's Agile Data Service System Construction Practice" was selected as "Industry Data Application Benchmark Case".
The "Galaxy" case is one of the most authoritative big data special case selections in China, aiming to better promote the prosperity of big data technology products and related industries, and give full play to the unique value of data as a factor of production. The 7th Big Data "Galaxy" Case Collection includes six major directions: industry data application, data security, and data asset management. Since the case collection was launched in September, it has received wide attention and enthusiastic applications from the industry, and a total of 706 applications have been received. The case was announced at the 2023 Data Asset Management Conference hosted by the Academy of Information and Communications Technology. The conference also released the Data Governance Industry Atlas 20", Aloudata was selected as a leader in the field of data fabric data management.
In the process of transforming enterprises from digital management to digital intelligent operation, the standardized governance and efficient application of data assets have become a key priority, which is the core competitiveness of enterprises in the digital business era. This award fully demonstrates Aloudata's technological leadership in the field of data management and the industry demonstration of the two case results. Based on the data fabric architecture and Noetl concept, Aloudata has independently developed the Aloudata Air, Aloudata BIG, and Aloudata CAN product systems, and successfully implemented the automated data management capabilities in the actual "data acquisition", "data use" and "data governance" of enterprises, realizing agile, consistent and efficient data application and governance in the complex system scenarios of large banks.
Benchmark case of data asset management: China Merchants Bank's model optimization and change collaborative application practice based on column operator lineage
With the deepening of the digitalization of China Merchants Bank's business, the rapid expansion of data scale, and the increasing complexity of data relationships, its future data management work is facing the challenge of how to continue to effectively maintain the advanced data architecture and how to efficiently carry out full-link change collaboration.
To this end, Aloudata supported China Merchants Bank to build a new data architecture that is in line with its data middle office strategy, forming a set of long-term management mechanisms that support each center to carry out model design, data development and data services.
Aloudata strongly supports China Merchants Bank to build a full-link operator lineage map from the source to the consumer end, integrates the column operator lineage analysis technology into the big data R&D platform, realizes the ETL Copilot function, and applies it to scenarios such as model optimization and change collaboration to serve data developers across the bankIn the data warehouse reconfiguration project, we assist developers to actively discover model optimization opportunities, greatly improve the efficiency of model reconstruction, identify duplicate assets, and promote data warehouses to quickly reduce the number of assets by 40% and shorten the average link by 50%.In daily link assurance scenarios, it automatically monitors upstream changes and automatically evaluates the end-to-end impact down to the field, helping O&M personnel prevent or quickly locate data risks and facilitate smooth upstream and downstream collaboration.
This solution provides ideas and methods for the industry to solve similar problems of data management, and uses Aloudata Big's accurate column operator lineage analysis capabilities and active metadata capabilities to innovatively solve the model optimization and link assurance problems that relied on a large number of experts and experience to achieve results in the past. Through the integration with R&D platforms and other tool products, it can be promoted to assist a wider range of people in R&D efficiency improvement, quality assurance and data intelligence applications.
Industry data application benchmark case: China Merchants Bank's agile data service system construction practice
In the face of the transformation of data service scenarios from "fixed analysis" to "digital intelligent operation", a large number of "micro-decision-making" scenarios in the process of business operation are highly dependent on timely and accurate data. With the widespread promotion of the agile BI model within China Merchants Bank, the flexibility of business requirements has brought challenges to the spatial and temporal complexity of the data model, which is mainly manifested in the response speed of report query and self-service analysis, the efficiency of data delivery between headquarters and branches, and the semantic consistency of data synchronization and sharing.
Adhering to the concept of data fabric architecture, the Aloudata Air logical data platform, independently developed by China Merchants Bank, realizes the elastic adaptation of pre-computing and ad-hoc computing through technological innovations such as relational projection, intelligent data orchestration, and enhanced query push-down, breaks through the bottleneck of computing performance and data scale of traditional technologies in multi-source heterogeneous scenarios, helps China Merchants Bank realize the self-service data use process in all scenarios, and builds a low-threshold analysis toolAchieve true agile data preparation, compute and query acceleration, and more than 50% storage cost savings.
The solution also leverages the powerful data semantic service capabilities of the AlouData CAN automated indicator platform to build an independent indicator semantic layer for China Merchants Bank, realizing the "definition is production" and "integration of management, research and use" of indicators, improving the coordination and delivery efficiency of indicators, and achieving 100% consistencyAt the same time, the semantics of the dataset are provided in various forms such as APIs, JDBC, and files to provide open services to realize the sharing and reuse of indicators.
As a result, Aloudata has built an agile data service system for China Merchants Bank, which realizes the innovation of data demand delivery mode through self-service data exploration and preparation tools and massive data adaptive acceleration engine, and provides new ideas for massive data analysis. At the same time, the commercialized "dataset indicators" support the reuse of BI tools, branches and branches, and business lines, effectively promoting the precipitation of enterprise-level business logic and the consistency of use.
Relying on the company's team's 20 years of big data technology practice and the commercialization of three products, Aloudata is the first to realize the best practices of data fabric in China. The selection of these two cases fully verifies the maturity and business value of Aloudata's products, and also represents the progress of the entire data fabric segment in China.
Zhou Weilin, CEO of Aloudata, said: "The selection of the 'Galaxy Case' is a recognition and encouragement of Aloudata's technical capabilities and continuous innovation, and the team will continue to focus on the field of automated data management to provide strong data empowerment for customers' businesses." He also mentioned that the NoETL data engineering architecture pioneered and practiced by Aloudata is highly consistent with the concept of Data Fabric, and NoETL is expected to become a new paradigm for enterprise data automation management.
Noetl reimagines data productivity," says Zhou.
At present, AlouData's products have been implemented in the complex data environment of many leading enterprises, and a number of data fabric best practices have been successfully delivered. With the belief of "Noetl Reconstructing Data Productivity" and the mission of "Making Data Ready", Aloudata will continue to output industry-leading innovations, so that more customers and partners can share the dividends of digital data.
Aboutaloudata
With the mission of "making data ready at any time", Aloudata is committed to eliminating the bottleneck of data management technology, improving the level of ETL engineering automation, and helping enterprises smoothly upgrade to the next generation of big data infrastructure.
Aloudata's self-developed Aloudata Air logical data platform supports the logical integration, integration and query of heterogeneous data, and achieves second-level query response and saves more than 50% of storage and computing costs through adaptive materialization acceleration and automatic ** technologyBased on the world's original operator-level lineage analysis technology, the Aloudata Big active metadata platform enables complex data links to be seen, managed, and managed, and implemented more refined and intelligent data managementAlouData CAN is an automated indicator platform that changes the traditional model of "IT development of business requirements", supports business personnel to flexibly analyze indicators from any granularity and any dimension, and realizes "definition as development and definition as service" of indicators.