Introduction

While it can refer to the end-to-end data analytics life cycle, the most common usage focuses on the steps of discovery (i.e., rapid hypothesis-test cycle) for finding value in big volume datasets. This rapid hypothesis-testing analytics cycle (also described as agile analytics) starts with quick correlation or trending analysis, with greater effort spent on hypotheses that appear most ... ................
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