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Tapping into Critical Aspects of Data Engineering

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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.

Data Science For Dummies

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