In-Memory Data Grids (IMDGs) are the backbone of some of the most data-intensive workloads in the world. If you are booking travel, making a stock trade, or buying a home, chances are an IMDG is involved.
This talk will focus on the architecture of In-Memory Data Grids by diving into the internals of Apache Geode, a popular, open-source IMDG. Through understanding the internal architecture and characteristic of these systems we will discover the data engineering problems they solve, and when / when not to use them.
We will also get hands on with Apache Geode and see how it can be used to speed up a legacy relational database.
Addison Huddy is a contributor to Apache Geode and a member of the Research & Development team at Pivotal Software. Prior to Pivotal, Addison worked at Visa where he developed some of Visa's early mobile wallets, as well as, data-driven advertising products. Addison has a Bachelors from UCLA and a Masters in Computer Science from the Georgia Tech.