The data explorer can be used to visualize and explore data streams that are persisted by using the Data Lake sink.
It provides a canvas where various visualizations from multiple pipelines can be placed. A global date and time range can be selected for all displayed visualizations.
The data explorer is currently available as an early beta version and features are still subject to change. A more detailed documentation will be available once the data explorer is available in a stable version.
In the data explorer, any pipeline that uses the so-called Data Lake sink can be explored in the data explorer. Switch to the pipeline editor and add the data lake sink to a data processor or stream. The sink requires an index name as a configuration parameter, which is used as an identifier in the data explorer.