While fully nuanced search implementation takes time, getting basic data ingestion, schema design and critical-path insights does not have to be a painful experience.
This talk uses several real-life datasets (from Data is Plural mailing list) and shows "Rapid Application Development"-style workflow to get the data into Solr and shape it ready for initial searchability and relevancy analysis.
Different stages of content ingestion, pre-processing, analysis, and querying are explained, together with trade-offs of different built-in approaches. Relevant document links are also included for more in-depth research.
This talk is for everybody who wants Search in their development stack but is not sure exactly where to start.