工业级分布式时序大数据系统

分布式实时大数据平台【RTD】具有超千万测点存储能力、每秒百万读写吞吐量、分时分域智能化分区存储、高压缩率(70%)低成本存储、时间加权处理、多维聚合分析、可视化查询等功能，借助Hadoop分布式架构完美解决采集数量巨大与单机架构固有的写入和查询分析效率低的天然冲突。

Distributed Real-time Big Data Platform [RTD] boasts storage capability for over 10 million measurement points, supports a read/write throughput of 1 million operations per second, implements intelligent partitioned storage based on time and domain, provides high compression ratio (70%) for low-cost storage, and offers functions including time-weighted processing, multi-dimensional aggregation analysis and visual querying. Leveraging the Hadoop distributed architecture, it effectively resolves the inherent conflict between massive data collection and the low efficiency of write and query analysis inherent in single-machine architectures.

搜集汇总

背景与挑战

背景概述

该分布式时序大数据系统基于Hadoop架构，支持千万级测点存储和百万级读写吞吐，提供高压缩率存储和智能化分区功能，具备时间加权处理、多维分析及可视化查询能力，有效解决了海量数据场景下的性能瓶颈问题。