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From SQL to N1QL: structured querying for JSON – Connect NY 2017

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Speakers: Keshav Murthy, Director, Query Development, Couchbase Kevin Holder, VP, WW Technical Field Operations JSON is the lingua franca of flexible data management, used to define complex, variably structured data objects. SQL is the universally known structured query language, used for well defined, uniformly structured data. Can SQL be used to query JSON? Yes, it can when you use N1QL – Couchbase’s SQL query language for JSON. In this session, we’ll explore how N1QL extends SQL to leverage the universality of SQL as a query language, while also leveraging the flexibility and agility inherent in JSON. See extensive examples of using SQL to directly query complex JSON objects that include arrays, sets, and nested objects. Learn about the powerful query expressiveness of N1QL, including the latest features that have been added to the language. Get practical examples of using N1QL to solve real-world application challenges, based on queries used by Couchbase customers. Slideshare: https://www.slideshare.net/Couchbase/from-sql-to-n1ql-structured-querying-for-json-couchbase-connect-new-york-2017/1 Visit our website for more information: https://www.couchbase.com/
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