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2. Summarization Patterns

Chapter 2. Summarization Patterns

Your data is large and vast, with more data coming into the system every day. This chapter focuses on design patterns that produce a top-level, summarized view of your data so you can glean insights not available from looking at a localized set of records alone. Summarization analytics are all about grouping similar data together and then performing an operation such as calculating a statistic, building an index, or just simply counting.

Calculating some sort of aggregate over groups in your data set is a great way to easily extract value right away. For example, you might want to calculate the total amount of money your stores have made by state or the average amount of time someone spends logged into your website by demographic. Typically, with a new data set, you’ll start with these types of analyses to help you gauge what is interesting or unique in your data and what needs a closer look.


  

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