Time-series data has historically been associated with applications in finance. However, as developers and businesses move to instrument more of their sensors, servers, applications, architecture and the physical world, time-series is becoming the defacto standard for how to think about storing, retrieving, and mining this data for real-time and historical insight. This paper will define:
● What time-series data is (and what it isn’t)
● How the problem domain time-series addresses differs from more traditional data
workloads like OLTP or full-text search
● Examine how Time Series data is differentiated from other proposed solutions
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