Agenda:
6:00-7:00: Socializing (Thanks GridGain for the food and drinks!)
7:00-7:10: Announcements
7:10-8:10: Talk
8:10-8:30: Q&A

Attendees will be introduced to the fundamental capabilities of in-memory computing platforms that are proven to boost application performance and solve scalability problems by storing and processing massive data sets in RAM and on disk.

The session is tailored for software engineers (with code samples in Java) who thirst for practical experience with in-memory computing technologies. You’ll be given an overview of in-memory concepts such as caches, databases, and data grids combined with a technical deep-dive of the following topics (the deep-dive is based on Apache Ignite - open-source in-memory computing platform):

• Distributed in-memory cluster deployment strategies.
• How data partitioning and replication works in a nutshell.
• APIs for data access - key-value, SQL and compute APIs.
• Affinity collocation tips and tricks.
• Making your cluster durable - persistence and other forms of reliability.

Address: we meet in Google Building GWC2 (1501 Salado Dr · Mountain View, CA)