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January 2025
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Phased, distinctive log analytics that control investment while advancing operations insight.

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

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

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

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

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.
Open the data-collection process, optimize matching algorithms and mechanisms, raise data quality and processing capability, and increase log utilization value.
Reduce manual work, enable multi-dimensional deep data mining and drill-down, unify management, simplify operations and maintenance, save labor cost, and raise enterprise efficiency.
Provide big data consulting, strategy, planning, and implementation services; expand data services to support operations analytics and raise enterprise business capability.
Formulate an integrated IT strategy to rapidly address big data integration and management, mine maximum data value, and accelerate traditional-enterprise digital transformation.

津公网安备 12011602000521号
津公网安备 12011602000521号



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