[session] Interactive Query Layer for Big Data | @BigDataExpo @Intel #IoT #M2M #BigData

An increasing number of companies are creating products that combine data with analytical capabilities. Running interactive queries on Big Data requires complex architectures to store and query data effectively, typically involving data streams, an choosing efficient file format/database and multiple independent systems that are tied together through custom-engineered pipelines. In his session at @BigDataExpo at @ThingsExpo, Tomer Levi, a senior software engineer at Intel’s Advanced Analytics group, will cover the challenges, architectural considerations, best practices, and frameworks available to enable interactive analytics integrated into a Big Data platform.

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