Viktor Gamov covers In-Memory technology, distributed data topologies, making in-memory reliable, scalable and durable, when to use NoSQL, and techniques for Big In-Memory Data.
Ryan Vanderwerf speaks about the roles of cache clustering, session clustering, and quartz clustering with open source Terracotta, Quartz, and BigMemory.
Cliff Click introduces a coding style & API for in-memory analytics that handles datasets from 1K to 1TB without changing a line of code and clusters with TB of RAM and hundreds of CPUs.
Tormod Varhaugvik provides a design and rationale for an In Memory and Big Data architecture for live equity and risk assessment, using Tax Norway’ new architecture as an example.
John Davies walks through a reference implementation of a in-memory database meant to combine dozens of different legacy databases developed by banks over time.
Kunal Bhasin discusses in-memory and Big Data computing techniques used for the detection of banking fraud in real time.