Achieving high performance and high availability with Redis Enterprise (Webinar in French)
|When:||October 19th, 2017 | 11:00 AM CET-Paris|
|Featured Speaker:||Georges Carbonnel, Regional Sales Manager for France & Southern Europe, Redis Labs
François Cerbelle, Solutions Architect, Redis Labs
|Audience:||Redis or/and NoSQL users|
You Will Learn
- The key advantages of Redis Enterprise
This webinar in the French language will allow you to understand how Redis Enterprise readily delivers high performance as well as high availability.
The webinar will cover aspects linked to stable high performance, zero-downtime, scalability and high availability, as well as support and assistance for deploying the fastest database on the market today.
Redis is not just the fastest database on the market today but also includes a comprehensive set of management and automated capabilities. Its capabilities reach far beyond caching, including real-time analytics, high-speed transactions, a message broker, job queue management, predictive analytics, machine learning.
Redis allows you to benefit from seamless scalability and to grow your dataset beyond the largest node in the cluster and process it by any number of CPU cores while choosing your own sharding policy. Scale your dataset dynamically, and without downtime, by simply changing the memory limit setting or increasing the number of shards with the click of a button.
Joins us on this webinar to find out how to obtain high performance and high availability with Redis Enterprise.
Georges Carbonnel, Regional Sales Manager for France & Southern Europe, Redis Labs
Georges has over 20 years of experience in the software industry mostly in the fields of databases and analytics. He gained his skills and knowledge both from open-source and proprietary worlds acquired at companies such as Oracle, IBM, Tibco, and Jaspersoft. Georges was the Regional Sales Manager in charge of France, the French-speaking region, and Southern Europe for Jaspersoft Business Intelligence and ETL solutions for the last seven years.
Today, he puts his expertise at the service of the advancement of Redis.