3 Must Read Books for Data Engineers | Book Recommendations | Data Engineering | #shorts

Are you picky when it comes to picking reliable reading resources? We have shortlisted the top 3 books every data engineer must have on their shelf.

Data Engineering, as a profession is fast gaining pace in the data science ecosystem, and due to the strong need for Data Engineers, even FAANG companies are willing to spend a fortune for qualified individuals.
Data engineering today could be considered one of the most lucrative jobs that deal with data. Due to this reason and more, data engineering has become one of the fastest-growing tech occupations.
Data engineers design, implement and manage the backend infrastructure that allows analysts and data scientists to derive insights from the data.

Who is a Data Engineer?
A data engineer is one of the data specialists who exemplify the fusion of data science with software engineering. He is the one who works on the building and designing of systems for managing, collecting, storing, and analysing big data at scale.

Why does the demand for data engineers keep increasing?
Data engineers are required to determine the fundamental foundation of how data is organised and arranged in the data warehouse.
They design systems that collect, handle, and convert raw data into actionable information for data scientists and business analysts to comprehend in a range of scenarios.

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