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        Big data solutions

              Runyu data analysis and mining solution is combined with Runyu server, storage and self-developed XRoot software, RDFS file system, for user business needs, collecting massive data storage, multi-source heterogeneous data integration, unified data directory, data analysis and mining, Data visualization and other functions as a whole software and hardware platform integrated solution, in the special cabinet, integrated server, storage equipment and high-speed network equipment, and deploy modular big data software, support EB-level massive data processing, can be applied to massive scientific research Storage, analysis, processing and mining of experimental data, pictures and videos.

        Main function introduction

         



         

              Adapt to EB-level underlying storage: The infrastructure layer adopts cluster distributed storage system: Runyu RDFS, which supports EB-level massive data storage, supports elastic expansion without interrupting service, and has high bandwidth and low read/write speed. Delay.
              Data virtualization: According to the data integration standard specification system, multi-source heterogeneous data integration can integrate multi-source and multi-structure data, including structured data and unstructured data, and support real-time access of data. According to user needs, build a data resource center, provide a unified data access interface, and provide users with transparent, on-demand data services.
              Hybrid storage strategy adapted to data structure: In the data resource center, select the appropriate storage persistence method according to different categories of data. For structured data, use distributed database storage methods, such as MySQL Cluster or Oracle RAC; for non-/semi-structured data, use distributed file system cluster storage, such as Runyu XHadoop or Spark system storage.
              Provide flexible data access: for upper-layer applications, provide data unified access interface, support data addition, deletion, and change operations, access interface support SQL, can be provided in a variety of ways, including JAVA API, REST mode, etc., for data directory, data retrieval Data statistics analysis and system secondary development provide interface support to facilitate deep data mining and business intelligence analysis for business.
              Provides fast data indexing: the interface part introduces the index module, parallel execution architecture, and preferentially reads the execution mode of the local disk, so that the query can achieve real-time completion, easy to use, high reliability and security, and enable EB-level data to be second-level. Processing greatly improves the efficiency of the user after performing the query operation.
              Business-oriented data analysis and data application: Provide data analysis modules such as data directory, data mining, data retrieval, data statistical analysis, report display, etc., support data association analysis, data classification clustering, data prediction and other data applications, as well as dashboards, Visualization of multiple types of data such as charts.
              Data security system: adopts identity authentication, encryption and decryption technology, network isolation and log audit technology to achieve user security, access control, security isolation, audit control and other security.

        User revenue

              Due to the complex data types generated by business systems and the need to meet the requirements of high concurrent response scenarios, traditional data processing architectures are no longer sufficient for business applications.
              Runyu data analysis and mining solutions increase linearly with the increase of the number of nodes, which provides the most favorable guarantee for the user's later linear expansion.
              Runyu data analysis and mining solution provides users with a distributed database, which uses the key/value key-value pair to query. When the enterprise user performs fuzzy or precise query according to the name and registration number, the real query can be realized. Second level query.
              Runyu data analysis and mining solution can realize multi-node simultaneous work and simultaneous access of multiple data copies in a high-concurrency scenario, effectively solving the problem of high latency and slow response of traditional architecture in high concurrent scenarios.
              Runyu XRoot integrated in Runyu data analysis and mining solution supports complex data storage structures such as multiple trees and graphs, and has high-speed I/O operation data access interface. It has neural network, Bayesian classifier, etc. Kind of clustering algorithm, as well as data processing methods such as fast Fourier transform, Hough transform, Kalman filter, etc., with advanced statistical analysis techniques such as multivariate analysis.

         

        黄大仙论坛精选六肖
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