Most people now agree that the cloud has become a core element of any enterprise’s technology strategy. Indeed, in the past few years we have seen the conversation around cloud adoption move from “if” to “when” and “how.” It is, in short, a fact of life. 

The NoSQL arena has many options, ranging from simple object storage to complex document and graph-based data stores. 

There are several different basic data types and it’s important to know what you can do with each of them so you can collect your data in the most appropriate form for your needs. People describe data types in many ways, but we’ll primarily be using the levels of measurement known as nominal, ordinal, interval, and ratio.

If you look around the internet or in textbooks for info about data, you’ll often find variables described as being one of the data types listed above. Be aware that many variables aren’t exclusively one data type or another. What often determines the data type is how the data are collected

When trying to turn data into information, the data you start with matter a lot. Data can be simple factoids—of which someone else has done all of the analysis—or raw transactions, where the exploration is left entirely to the user.

Gathering data is similar to gathering ingredients for a recipe. If you want to create an excellent dish, you’ll want to start with the right ingredients, which means you’ll have to make a bunch of decisions beforehand.

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