1 Introduction
This chapter covers
- Defining data engineering
- Anatomy of a data platform
- Benefits of the cloud
- Getting started with Azure
- Overview of an Azure data platform
With the advent of cloud computing, the amount of data generated every moment reached an unprecedented scale. The discipline of data science flourishes in this environment, deriving knowledge and insights from massive amounts of data. As data science becomes critical to business, its processes must be treated with the same rigor as other components of business IT. For example, software engineering teams today embrace DevOps to develop and operate services with 99.99999% availability guarantees. Data engineering brings a similar rigor to data science, so data-centric processes ...
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