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Improve Data Processing Efficiency
- Built-in, ready-to-use official script library offering numerous script functions and debugging tools to meet various data processing needs.
- Use processor languages to transform metrics, logs, objects, and other types of data into structured data that meets our requirements. Key information can be extracted as attributes, timestamps can be converted to date formats, and more, allowing for more intuitive information access and easier data querying and analysis.
- Use processor languages to transform metrics, logs, objects, and other types of data into structured data that meets our requirements. Key information can be extracted as attributes, timestamps can be converted to date formats, and more, allowing for more intuitive information access and easier data querying and analysis.
Data Correlation Analysis
The processed data structure becomes clearer, enabling more precise filtering and aggregation analysis. For example, Pipeline can parse and extract fields such as host, service, and status from logs. These dimensions can then be used to query associated metrics, traces, networks, and more, enabling comprehensive, all-around analysis.
Sensitive Data Masking
Pipeline provides data masking capabilities that can directly identify sensitive information such as names, phone numbers, and ID numbers for desensitization protection. Data processing is completed before storage to ensure that sensitive information is not exposed.
