June 18, 2013
This e-book takes a look at investigative analytics, an emerging happy-medium approach somewhere in between traditional analytics and machine learning or predictive analytics.
We’re all living in the Internet of Things. Machine-generated data poses significant challenges for conventional relational database management systems, to say nothing of conventional (SQL-based) analytics. It requires new technologies, new methods, and even new thinking. What's the answer?
This e-book takes a look at investigative analytics. Like predictive analytics, it involves the analysis of structured and semi-structured data, but it’s less focused—or more open-ended.
Download this e-book to learn more. Plus, expert Q&A: a discussion about how Infobright improves ad hoc query speeds for data stored in Hadoop. Finally, industry expert Barry Devlin helps to let the air out of some over-inflated big data myths.