Time Series Analysis Using Apache Druid and Superset

Part 2 of the series on working with time-series data using Druid, Superset, and Prophet focuses on ingesting data into Druid and visualizing it with Superset. The guide begins with loading a tutorial dataset of time-stamped Wikipedia edit metadata into Druid using its web GUI, detailing the steps for parsing, transforming, filtering, and configuring the data schema. This includes defining the __time column, applying transformations, and selecting partitioning options before submitting the ingestion job. The narrative highlights how Druid's GUI facilitates the learning of its complex data ingestion process. Moving on to visualization, the guide explains how to integrate the ingested data into Superset, create a time-series chart, and adjust visualization settings such as time filters and granularity to display the data effectively. The tutorial concludes with saving the chart and encouraging community engagement through Slack and GitHub.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.