We are excited to introduce you to Spocky 🖖, an assistant designed to help you navigate the world of time-series data processing with WarpLib. Whether you're new to the platform or a seasoned user looking to dive deeper into the WarpLib library, Spocky 🖖 is here to assist.
Processing data represented as time series comes with its own set of challenges. Time series data is often unstructured, asynchronous, and subject to irregular intervals, making traditional tabular data processing methods inefficient.
Spocky guides you into the main steps to approach processing of time-series data, and help you break it down step by step. It's designed to make learning and experimenting with WarpLib both intuitive and interactive, regardless of your development environment (Spark, Python, Warp Script, etc).
Go chat with Spocky at spocky.senx.io, and start processing your data with WarpLib! 🖖
We’d love to hear your feedback to keep improving, as Spocky 🖖 is still at the very beginning of its journey. Please reach out to us at contact@senx.io, or through WarpLounge on Slack to let us know what you think!
Stay tuned for more updates, and happy exploration of sensor data!
