• MapReduce Service

mrs
  1. Help Center
  2. MapReduce Service
  3. User Guide
  4. Overview
  5. Application Scenarios

Application Scenarios

MRS can be applied in various industries in the processing, analysis, and storage of massive data.

  • Analysis and processing of mass data

    Usage: analysis and processing of massive sets of data, online and offline analysis, and business intelligence

    Characteristics: processing of massive data sets, heavy computing workloads, long-term analysis, and data analysis and processing on a large number of computers

    Application scenarios: log analysis, online and offline analysis, simulation calculations in scientific research, biometric analysis, and spatial-temporal data analysis

  • Storage of mass data

    Usage: storage and retrieval of massive sets of data and data warehouse

    Characteristics: storage, retrieval, backup, and disaster recovery of massive sets of data with zero data loss

    Application scenarios: log storage, file storage, simulation data storage in scientific research, biological characteristic information storage, genetic engineering data storage, and spatial-temporal data storage

  • Streaming processing of mass data

    Usage: real-time analysis of mass data, continuous computing, offline and online message consumption

    Characteristics: massive amount of data, high throughput, high reliability, flexible scalability, and distributed real-time computing framework

    Application scenarios: streaming data collection, active tracking on websites, data monitoring, distributed ETL, and risk control