Log Analytics Big Data Solution

Phased, distinctive log analytics that control investment while advancing operations insight.

Real-Time Massive Log Collection

Adapt to multiple data sources for real-time massive log collection with high concurrency and low latency, rapidly raising data-processing efficiency

Efficient Data Governance

Efficient metadata management and data-lineage services to quickly realize domain-wide data governance and a complete data-asset management system

Ultra-Fast Log Query

A new log-analysis language with high-speed log processing, also accelerating agile BI, self-service modeling, and more

Intelligent Fault Prediction

End-to-end algorithm analysis and visualization services to quickly build data-mining and machine-learning models for precise analysis, decision support, and intelligent fault prediction

Solution Architecture

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The overall architecture is divided into three layers: data-source layer, log-processing layer, and application layer.

At the data-source layer, rapidly collect massive unstructured data such as device logs and system logs, and load log data into the big data platform by batch import or real-time write according to business-system requirements.

At the log-processing layer, apply the XData big data intelligent engine to collect log data into storage devices, which can be stored in HDFS, HBase, or ES. For information-poor or redundant data, a data-governance system can clean data and check rules. Through a high-speed analytics engine, rapidly query and associate log data, with intelligent analysis supporting business.

At the application layer, after processing massive logs based on the big data platform, combine enterprise business needs to realize industrial-equipment log analysis, real-time equipment-fault warning and intelligent prediction, civil-aviation equipment operations analysis, and other business applications.


Solution Value

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