The growth of time series data is driven by advancements in sensor technology, online and wireless connections, better databases, responsive websites, and analytics tools. Time series data has various applications across industries such as device monitoring, energy systems, manufacturing, computer operations, financial pricing and trading, and marketing automation. It enables real-time response to signals, alerting, and monitoring. The life cycle of time series data involves generation, pipeline processing, transformation, and analysis. A suitable database should support transactions, scalability, operational capabilities, and analytics support. SingleStore is highlighted as a suitable option for time series databases due to its ability to handle fast data ingestion, support for SQL, and scalability. Fanatics, a user of SingleStore, showcases the application of time series data in their business, using it to predict jersey sales and gear up production accordingly. The webinar also covers comparisons with other databases like Redis and Snowflake.