YI-MapReduce

YI-MapReduce ( YI-MR), the data processing and analysis service based on the cloud computing platform, helps customers rapidly upload big data to the cloud, easily run high-performance big data components such Doris, Elasticsearch, Hive, Kafka and Spark, and build an enterprise-level big data platform that is reliable, secure, easy to manage, and immediately ready for use.
  • Product Advantages
  • Features
  • Scenarios
  • Help

产品优势

Easy O&M

YI-MapReduce offers a visual O&M management platform for big data clusters and enables full-link visual operations to lower the requirement for O&M, facilitating easy operations for 90% of daily O&M scenarios, thus improving O&M efficiency.

Cost-effectiveness

The YI-MapReduce cluster, leveraging a diverse cloud infrastructure, offers a broad range of choices for computing and storage facilities. It supports on-demand creation and expansion and can be discarded after use, ensuring cost optimization.

High Security

YI-MapReduce service offers enterprise-level big data multi-tenant permission management capabilities, embodying enterprise-level big data security management features. It utilizes Kerberos and Ranger security technologies to authenticate and authorize all components, and supports data permission control at the library, table, and field levels.

High Reliability

YI-MapReduce has implemented over 100 code and configuration optimizations on open-source components, achieving high SLA. The Master node group employs anti-affinity technology, distributing virtual machines across different physical machines to ensure high service availability.

Features
One-stop Converged Platform Provide full-stack big data engines such as HDFS, Flink, Spark, HBase, and Doris to integrate data lake, data warehouse, and BI, helping customers to build a one-stop big data platform.
Enhanced Security Support industrial applications such as massive data storage, massive data analysis, and real-time processing. The use of network isolation, resource isolation, and host security ensures that users can securely store and use data and run services.
Enhanced Reliability Come with a basic platform for big data storage and computing, and a platform for big data O&M management. Its main focus is on improving and tuning the reliability and performance of big data components.

Scenarios

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  • Massive Data Analysis Processing Scenarios
  • Massive Data Storage Scenarios
  • Massive Data Analysis And Processing Scenarios
Scenarios Overview
  • Suitable for scenarios that require a large number of machines to perform log analysis, offline analysis, online analysis, scientific simulation computing, biometric analysis, and space-time trajectory analysis of massive data at the same time.
What You'll Enjoy
  • Flexible Use
  • O&M free, separation between computing and storage. Computing clusters can be created on demand and the clusters can be released upon the completion of jobs.
  • Compatibility with Open Sources
  • Actively embrace the open source big data ecology, compatible with open sources, easy to connect with other services, and provide REST API, JDBC and other ways of use.
Recommended combination for use
Help