Handling Time Series Data: Capabilities & Performance in Snowflake and Databricks

Abstract

Time series data is a set of data points arranged chronologically in a sequence and captured at regular intervals. The high level
of variability plays an essential role in a wide range of domains, including finance (stock quotes and trading volumes), IoT
devices (sensor data, machinery analytics), and weather forecasting. It allows organizations to observe patterns and trends and
draw conclusions over time. Working with time series data involves proper storage and processing of data together with fast
or near-real-time analysis capability