Presentations

Predictably achieve low latency and linear scalability with a Data Grid

Demand spikes are getting to be far more unpredictable than ever before. One way to achieve predictably low latencies is through main-memory data grids. In this talk, we explore the various features offered by GemFire (and other popular data grids) like Synchronous/asyncrhonous replication, hash or relationship based partitioning, hierarchical caching, parallel behavior execution on data nodes, dynamic rebalancing of data and behavior, etc all from a perspective of managing continuously changing load patterns. We will discuss pros and cons of different approaches and provide design recommendations that can lead to better performance, higher availability and linear scalability and your applications

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GemFire SQLDataFabric - "noSQL database" scalability using SQL

NoSQL databases offer horizontal scalability through data partitioning and relaxing the consistency semantics in traditional SQL databases. But, often, this also means that developers have to relinquish the use of SQL as the querying language. This talk presents, SQLFabric, a SQL data grid that brings together Apache Derby and GemFire data grid to offer a horizontally scalable, memory oriented data management system where developers can continue to use SQL. We discuss the product features, where it strays from popular SQL databases and how it compares to other "noSQL" offerings

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