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Build a Fast, Searchable Document Store with Azure Cache for Redis Enterprise
Robero Perez, Cloud Solutions Architect * Kyle Teegarden, Project Management * Sean Noyes, Cloud Solutions Architect
To get enhanced application customer experience, you need a low latency, JSON-oriented document database. Real-time document store on Azure Cache for Redis allows you to build modern, scalable applications. It can either be used as a cache to reduce read and write latencies or as a fully-featured in-memory document store that provides native support to store, index, query, and run full-text search on JSON documents, all at the speed of Redis.
Join Sean Noyes and Roberto Perez, Senior Cloud Solutions Architects from Redis Inc. and Kyle Teegarden, Senior Product Manager from Microsoft, as they discuss the new capabilities, data modeling and show you live query examples that will help you tackle your day-to-day challenges.
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The Ins and Outs of Microsoft Azure Cache for Redis Enterprise
Sean Noyes, Senior Cloud Partner Solution Architect at Redis * Kyle Teegarden, Senior Product Manager at Microsoft
An in-memory, open-source NoSQL database, Redis supports a variety of high performance operational, analytics, and hybrid use cases through sub-millisecond latencies, effortless horizontal scale-out, and a straightforward key-value design.
Nested in this high value-prop portfolio is Azure Cache for Redis Enterprise, an in-memory data store designed to power fast, scalable applications. Now, these features beg the question: how can you put Redis and/or Azure Cache to use in your organization?
Find out by watching this webcast, in which Redis Senior Cloud Partner and Solutions Architect Sean Noyes, alongside Microsoft Senior Product Manager Kyle Teegarden, illustrate Redis and Azure’s strategic collaboration and demonstrate Azure Cache for Redis’ strategic benefits and use cases you can readily apply.Presenters:
Sean Noyes, Senior Cloud Partner Solution Architect at Redis
Kyle Teegarden, Senior Product Manager at Microsoft -
Build a Fast, Searchable Document Store with Azure Cache for Redis Enterprise
Robero Perez, Cloud Solutions Architect * Kyle Teegarden, Project Management * Sean Noyes, Cloud Solutions Architect
To get enhanced application customer experience, you need a low latency, JSON-oriented document database. Real-time document store on Azure Cache for Redis allows you to build modern, scalable applications. It can either be used as a cache to reduce read and write latencies or as a fully-featured in-memory document store that provides native support to store, index, query, and run full-text search on JSON documents, all at the speed of Redis.
Join Sean Noyes and Roberto Perez, Senior Cloud Solutions Architects from Redis Inc. and Kyle Teegarden, Senior Product Manager from Microsoft, as they discuss the new capabilities, data modeling and show you live query examples that will help you tackle your day-to-day challenges.