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Full Text Search: The Key to Better Natural Language Queries for NoSQL in Node.js
Available On-Demand

Querying a database with SQL or a similar technology is great until you find yourself needing to query natural language. Do you degrade the performance of your queries with wildcards? How about searching across multiple columns or properties? What happens when you need to score results based on their match accuracy? Couchbase Full Text Search (FTS) shines when it comes to querying unstructured data in comparison to standard querying.

When an organization has a virtual ocean of structured and unstructured data, it can be extremely frustrating for users to determine the best search terms to search that data, and then to sort through a long list of nonrelevant results. Couchbase FTS resolves both problems by automatically including all relevant variations of a user’s search term and then using results scoring to return only the results the user was most likely looking for.

Attend this webinar to explore how to use the Couchbase open source NoSQL database for some FTS basics, such as indexing, facets, and querying, and then see how to implement them in Node.js.

About the speakers

Nic Raboy
Developer Advocate

Nic is a Developer Advocate for Couchbase in the San Francisco Bay Area. He has released several native and hybrid mobile applications for iTunes and Google Play and writes about his development experiences related to making web and mobile app development easier to understand. He has experience in Unity3D, Apache Cordova, Java, NoSQL, SQL, PHP, and Node.js. Before joining Couchbase, Nic worked within the higher education system building and managing applications that scale for the growth of the student population. You can find him on Twitter at @nraboy.

Tyler Mitchell
Senior Product Manager

Tyler Mitchell is Senior Product Manager for Couchbase focusing specifically on SDKs to enable rapid application development for Couchbase users. Tyler's background is in big data SQL analytics where he worked with Actian's R&D group for Ingres as an engineering director, and earlier as executive director for open source geospatial technology at OSGeo.

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