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Thu, April 25BackEndDataTech
Do you instinctively opt for a relational database every time for your application's data needs? Discover how the dynamic combination of a NoSQL database and a robust search engine can occasionally outstrip SQL's flexibility. This talk offers a deep dive into Redis's potent search capabilities, emphasizing querying both structured and unstructured data. Redis's modern adaptations bridge the SQL-NoSQL divide, facilitating standard SQL patterns in a key-value and document datastore environment. Let's explore how to model your application's datasets as Redis JSON documents, achieve SQL-grade data querying in Redis, and construct insightful reports and analytics with Redis's advanced search aggregation.
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Brian Sam-Bodden is a Senior Applied AI Engineer at Redis as well as an author, instructor, speaker, developer advocate and open source contributor and Java Champion who has spent over twenty years crafting software systems. He holds dual bachelor’s degrees from Ohio Wesleyan University in computer science and physics. Brian is a frequent speaker at user groups and conferences nationally and abroad and is the author of “Beginning POJOs: Spring, Hibernate, JBoss and Tapestry”, co-author of the “Enterprise Java Development on a Budget: Leveraging Java Open Source Technologies” and a contributor to O'Reilly's “97 Things Every Project Manager Should Know”.
