Applications today are required to process massive amounts of data and return responses in real time. Simply storing Big Data is no longer enough; insights must be gleaned and decisions made as soon as data rushes in. In-memory databases like Redis provide the blazing fast speeds required for sub-second application response times. Using a combination of in-memory Redis and disk-based MongoDB can significantly reduce the “digestive” challenge associated with processing high velocity data. In this webinar, you will learn how utilizing Redis to process data before it is stored in MongoDB allows users to gain information in real time and distributes the load more efficiently, which, in turn, allows MongoDB to process a greater volume and variety of data.
|September 3rd, 2015
|Itamar Haber, Chief Developer Advocate, Redis
|Anyone using MongoDB or evaluating NoSQL
Itamar Haber is the Chief Developer Advocate at Redis. He is a startup veteran, a database maven and an advocate for users. His varied experience includes software product development and management, as well as leadership roles at Xeround, Etagon, Amicada and M.N.S. Ltd. Itamar holds a Master of Business Administration from the joint Kellogg-Recanati program by Northwestern and Tel-Aviv Universities, as well as a Bachelor of Science in computer science.