This is a rescheduling of the cancelled January talk so I hope everyone can make it! Below is the abstract.
When architecting for Big Data, you have to think outside the box. We will explain how an IBM project at CUNA Mutual Group in 1998 morphed into MIOsoft and planted the seeds of innovative ideas that eventually yielded a novel database paradigm called the Context Database that further facilitated the creation of a tightly-integrated distributed application development ecosystem for Big Data. We will contend that MIOdb is capable of storing and analyzing Big Data while simultaneously being capable of scaling to meet the demands of high-throughput transactional applications because of a unique combination of features, such as:
• Lock-free operations
• Logical and physical clustering of data
• Context-oriented concurrency
• Parallel reporting requiring only a single physical pass across each disk
• First-order modeling of complex, deeply-nested structures
• Automatic management of denormalization
• Sophisticated data integration concepts like transitive matching of like data, auto-relationship discovery, and conservation of data provenance
We will close by looking to the future, the “Internet of Things” and real time contextual analytics, and detailing how a Context Database platform like MIOedge makes understanding individual entities in real time possible.