Q&A: Best Practices for Storing and Analyzing Time-Series Data
The exponential growth of machine generated data in recent years has created the need for solutions purpose-built to handle extremely high-frequency telemetry data. This has driven increasingly more organizations to adopt time series databases and address the unique challenges around ingesting, analyzing, and storing massive amounts of time-series data.