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Big Data Storage Overview
Companies that use modern systems generate large volumes of heterogeneous data. This data must be exploited for marketing reasons or to make internal improvements to a product. This heterogeneous data demonstrates that a single data store is generally not the best approach.
It is also recommended to store different types of data in different data stores so that each one is geared toward a specific workload or usage pattern. If we use a combination of different data storage technologies, we are using what is called polyglot persistence. It is important to understand what Azure offers as a service for storing data warehouses and how we can use and analyze all that data.
In this chapter, we will explore big data storage ...
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