Devs and Data, Part 4: Analyzing a Variety of Data

This article is part of the Key Research Findings from the new DZone Guide to Big Data: Volume, Variety, and Velocity. 

Introduction

Before getting into it, let's quickly recap the series so far. In Part 1, we discussed the rise of the big data field in recent years, and the surging numbers of data professionals. In Part 2, we examined data ingestions techniques and tools, and ways of dealing with data at high velocity. And, last time, in Part 3, we talked about data management and working with large volumes of data. Today, in the final part of this series, we'll dive into data variety and data analysis. 

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