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When architecting for Big Data, you have to think outside the box.
This talk describes 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 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.
The talk concludes by looking to the future, the “Internet of Things” and real time contextual analytics, and detailing how a platform like MIOedge makes understanding individual entities in real time possible.