Chapter 2
Tapping into Critical Aspects of Data Engineering
IN THIS CHAPTER
Unraveling the big data story
Looking at important data sources
Differentiating data science from data engineering
Storing data on-premise or in a cloud
Exploring other data engineering solutions
Though data and artificial intelligence (AI) are extremely interesting topics in the eyes of the public, most laypeople aren’t aware of what data really is or how it’s used to improve people’s lives. This chapter tells the full story about big data, explains where big data comes from and how it’s used, and then outlines the roles that machine learning engineers, data engineers, and data scientists play in the modern data ecosystem. In this chapter, I introduce the fundamental concepts related to storing and processing data for data science so that this information can serve as the basis for laying out your plans for leveraging data science to improve business performance.
Defining Big Data and the Three Vs
I am reluctant ...
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