Processing time series data is a crucial aspect of extracting insights from large amounts of sequential data, and various options are available for this purpose, including streaming frameworks such as Apache Kafka and Apache Spark Streaming, which allow for real-time processing of data streams. Google's recent announcement of its Cloud Inference API is seen as an exciting development in the field, offering a scalable and efficient way to process time series data, with companies like InfluxData expressing enthusiasm for its adoption and evolution. The article highlights the importance of proper data processing techniques, such as those offered by streaming frameworks, to uncover meaningful insights from time series data.