Pivotal GemFire is a powerful, distributed key-value store. It's the backbone of some of the most data-intensive workloads in the world. Whether you’re making a travel reservation, a stock trade, or buying a home, Pivotal GemFire is likely involved.
During this webinar, we’ll dive into architecture best practices and data modeling techniques to get the most out of GemFire. We’ll look at common errors when working with In-memory Data Grids (IMDG) and run through five tips for getting started with Pivotal GemFire. Learn to model your data in a NoSQL key-value store, avoid serialization issues, and get the most out of your IMDG.
Presenters: Addison Huddy and Jagdish Mirani, Pivotal
11. Keep It Simple By
Don’t focus on optimizations too early in the design
process
● Use PDX and Reflection
● Use default parameters
● If writing Java and Spring, use Spring-Data-Gemfire
18. Data Modeling
NoSQL doesn’t mean no data modeling
● Regions model objects, not teams
● Use clusters and security to divide teams and
applications
● Key, value mindset vs. Relational mindset
NoSQL
20. Community
Engage with the Apache Geode community
● Community page: http://geode.apache.org/community/
● User and dev list
○ user-subscribe@geode.apache.org
○ dev-subscribe@geode.apache.org
● Community JIRA: issues.apache.org/jira/browse/GEODE/
● StackOverflow:
○ https://stackoverflow.com/questions/tagged/geode
● Github: https://github.com/apache/geode
Apache Geode