Ingestion involves the process of receiving and loading raw data into the AIOps system.
This step must handle high volumes of streaming data in real-time and batch processing for historical analysis.
Once data is ingested, normalization comes into play.
This step standardizes the data format and structure, ensuring consistency across diverse data sources.
In addition, it simplifies subsequent processing and analysis.
Data processing encompasses the manipulation and transformation of data to derive meaningful insights.
It involves filtering, aggregating, and enriching the data to facilitate efficient analysis.
- Real-time vs. Batch Processing
Real-time processing is crucial for immediate insights into the current state of the IT environment.
On the other hand, Batch processing is essential for historical analysis, trend identification, and long-term pattern recognition.
Processed data is typically stored in a central repository, often referred to as a data lake or database.
This storage solution facilitates efficient retrieval and analysis of historical data.