Let's face it, in most applications where performance matters (is there another kind?) the cache effectively becomes your operational database. So why would you want to keep working with a glorified distributed HashMap when you could have the right data structures at your disposal? In this session, we will work with Redis Stack, a novel packaging of the beloved Redis database that brings with it, new data structures that can make your in-memory database truly fulfill the needs of your applications. In this session, we will concentrate on working with JSON data and searching over that data in Spring Boot applications... all at Redis speeds!

Who is it aimed at? Java application developers

Why should I attend? Find out why developers love Redis

Speaker:
Brian Sam-Bodden
Brian Sam-Bodden is a developer advocate at Redis as well as an author, instructor, speaker, and open-source contributor 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”.

Please use these resource links:
Learn more about Azure Cache on Redis - https://aka.ms/AzureCacheRedisDocs
Check out the Redis github: https://aka.ms/EasyButtonRedisEnterp
​https://developer.redis.com/riot
Enterprise Azure cache for redis instances: https://aka.ms/RedisinstancesAzureCache
ntro to Azure Cache for Redis - free learn module: https://aka.ms/RedisIntroAzureCache
https://github.com/redis/redis-om-spring