During your migration to the cloud, some—perhaps the majority—of your applications will be moved more or less intact as virtual machines (VMs). This Infrastructure as a Service (IaaS) style of migration has a number of advantages, as discussed in previous chapters. After they are in the cloud, applications can take advantage of the numerous services available to them, quickly giving those applications far more function and return on investment. This chapter first looks at how you can redesign your applications to better take advantage of the underlying cloud framework, and then how you connect them to services in the cloud to rapidly expand their features and functions

There are many options for relational database functionality in the cloud, and they serve different purposes

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.

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