⏱️ WIA-DATA-014
Time-Series Data Standard
Chapter 1
Introduction to Time-Series Data
Understanding time-series data, characteristics, and use cases
Chapter 2
Time-Series Data Modeling
Data structures, schemas, and modeling best practices
Chapter 3
Time-Series Databases
InfluxDB, TimescaleDB, Prometheus, and other TSDB systems
Chapter 4
Data Collection and Storage
Ingestion patterns, retention policies, and storage optimization
Chapter 5
Querying and Analysis
Query languages, aggregations, and analytical techniques
Chapter 6
Anomaly Detection
Statistical methods and machine learning for anomaly detection
Chapter 7
IoT and Monitoring Applications
Real-world applications in IoT, infrastructure, and observability
Chapter 8
Future Trends and AI Forecasting
Machine learning, forecasting, and emerging technologies
弘益人間 (Benefit All Humanity)
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