The modern day search engine has significantly evolved from its keyword matching days to its current form which leverages a wide variety of data inputs and user feedback loops to help users find out what’s most important in their data.  At Lucidworks, we leverage Apache Spark and Solr and a good dose of data engineering to build smarter, richer search and data applications.  The combination of these two key technologies plus some supporting libraries create a powerful combination for data scientists and engineers to not only explore, but enhance data.  In this hands-on session, we’ll cover some common use cases, a bit of background on how they work (theoretical and practical) and mix in a good dose of examples for attendees to try out on their own.