Analytics

Effective Analytics Projects Require Blend of 3 Approaches, in Concert

30th Nov `13, 05:24 AM in Analytics

When considering an approach to a big data analytics project, decision-makers often tend to focus on which of…

BDMS
Guest Contributor
 

When considering an approach to a big data analytics project, decision-makers often tend to focus on which of the three major techniques best fits their use case: an ad-hoc approach, batch analytics, or real-time analytics. Each of these approaches has an application in particular situations, but developing an effective project demands that each of these approaches be used in conjunction with one another in the context of the goals of the project.

Even a cursory understanding of the technologies would seem to offer easy answers: batch processing if you have big chunks of data, real time if the data is streaming, and ad-hoc to tackle cases in between. The reality is much more nuanced, however.

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