Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)

Within social networking sites like LinkedIn or Facebook, social network analysis can yield insights into what advertisements might appeal to given users.

MapReduce is not a database, so it has no built-in security, no indexing, no query or process optimizer, no historical perspective in terms of other jobs that have been run, and no knowledge of other data that exists.

Capacity can be scaled up or down dynamically, and immediately. This

The logic required for most data preparation tasks is actually relatively simple. It is exactly the kind of thing that a relational database and its native language, called structured query language (SQL), are meant to do.

The value is in doing things in a different way more than doing something fancy.

Instead of solely looking at a customer’s individual value, it is now possible to explore the value of his or her overall network. The example we’re about to discuss could apply to a wide range of other industries where relationships between people or groups are known, but we’ll focus on wireless phones since that is where the methods have been mos

advanced analytics is to quantify the cause of events, predict when they might happen again, and identify how to influence those events in the future.

Ensemble approaches are fairly straightforward conceptually. Instead of building a single model with a single technique, multiple models are built using multiple techniques.

Just as RFM is only a small piece of what transaction data can yield, so, too, are traditional web analytics only a portion of what web data can yield. Web