Data engineering, as a separate category of expertise in the world of data science, did not occur in a vacuum. The role of the data engineer originated and evolved as the number of data sources and data products ballooned over the years. Therefore, the role and function of a data engineer is closely associated with a variety of different data-processing platforms such as Apache Hadoop, Apache Spark, and a huge number of specialized tools. In this article, you will find out why Spark should be considered the data engineer’s best friend. Spark is the ultimate toolkit
Data engineers often work in multiple, complicated environments and perform the complex, difficult, and, at times, tedious work necessary to make data systems operational. Their job is to get the data into a form where others in the data pipeline, like data scientists, can extract value from the data. To read this article in full, please click her
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