How to Speed Up Your Database with Hazelcast
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Recorded Webinar

How to Speed Up Your Database with Hazelcast

52 minutes
Recorded August 13, 2014

In This Webinar:

One of the most common use cases that In Memory Data Grids (IMDG) like Hazelcast® solve is that of the slow or unscalable Relational Database (RDBMS). Scaling a non performant RDBMS at best involves knowledge of complex configuration techniques and at worst could require the addition of expensive non commodity hardware. In this webinar we will demonstrate how you can easily add Hazelcast into the workflow of your application to solve this issue. Hazelcast can be used to solve the problem of slow reads by caching data in memory and it can also relieve stress on a Database where slow updates are an issue for your application.

We cover the following topics:

  • Hands-on demonstration of Hazelcast, the leading In-Memory Data Grid
  • How to easily get started with your existing database
  • Code examples included


David Brimley, Senior Solutions Architect at Hazelcast

David joins Hazelcast® with 25 years experience in the IT Industry. Over the past 16 years he has worked exclusively in the Investment Banking Sector within the City of London. He has served as Vice President of Equity Capital Markets at Credit Suisse, and later as a Freelance Senior Java Consultant for HSBC, Royal Bank of Scotland and Nomura. David has extensive knowledge of Distributed Caching products, having worked with Coherence, Gemfire and Hazelcast for the past 6 years. He began his career in 1988 as a Trainee Cobol Programmer for a national monthly book club.