Introductory technical session on Apache Solr's (HDP Search) artificial intelligence and machine learning features to discover relationships and insights across big data in the enterprise. Discussions will include how Solr performs graph traversal, anomaly detection, NLP and time-series analysis, and how you can display this data to users with easy-to-create dashboards.
This technical session will review Apache Solr’s streaming expressions, which were introduced in Solr 6.5. With over 100 expressions and evaluators, conditional logic, variables and data structures these functions form the basis of a new paradigm that brings many of the features from the relational world into search. These new capabilities form the basis of a powerful functional programming language that enables the implementation of many parallel computing use cases such as anomaly detection, streaming NLP, graph traversal and time-series analysis.
In order to discover and analyze big data, third party tools such as Jupyter, Tableau, and Lucidworks Insights will be reviewed.