MongoDB 2.6 - Text Search

Paul Pedersen (https://twitter.com/pcp071098) (Deputy CTO of MongoDB Inc) will be talking about MongoDB 2.6 and Text Search (http://docs.mongodb.org/manual/core/index-text/);

Mongo v2.6 integrates text search. This talk walks through a soup-to-nuts example: ingest a public TSV-data set, create text and non-text indexes, explore these data with mixed text/select queries, formulate aggregation pipelines using text search filters to extract some basic insights in to the given data set, export selected / pivoted data to stats package 'R' for further analysis. After the example, we'll talk about the complete text-search syntax and the text-search road map. Text queries can be combined with regular selection queries in 'find' and in aggregation pipelines. About Paul: Paul Pedersen is the Deputy CTO of MongoDB, Inc. and works with the server kernel design team. He has been a leading member of the NoSQL database movement for the past 14 years; working as a search engine architect at Infoseek then Google prior to co-founding MarkLogic, one of the earliest NoSQL database products. Earlier he was a professor of Computer Science at Cornell University, and a professor of Mathematics at University of California, Los Angeles. Earlier still, he worked on the first generation of programmed trading systems on Wall Street.