The Differences Between Engineering and Data Software


Engineering and data software are overlapping fields that work closely. Although many of the careers in these fields have some commonalities however, they have different areas of expertise, which makes them distinct.

To manage huge amounts of data and information at scale, companies require experts to gather and prepare the data to be used for further analysis. These specialized experts are called data engineers. They employ programming languages to create systems that gather data and convert it into formats that are useful to other data specialists, such as data scientists or business intelligence (BI) developers.

Data engineers look at how data is stored and encoded, as well as how it is secured when designing their pipelines. They might recommend or implement ways to improve data reliability, efficiency, and quality. They could, for instance assist users to seamlessly join data by introducing consistent IDs.

Data engineers often develop analytics applications once their ETL is completed to help others leverage company information. This can include creating visualizations that show key data such as employee and customer trends, product performance, and more. They also develop and maintain data platforms that employees can access via APIs or web-based interfaces, such as a dashboard.

To accomplish this, they need to be able operate a variety databases and storage technologies. For example, they might utilize SQL to query relational databases and an application like Python to create more flexible and powerful ETL processes. Alternatively, they could deploy an NoSQL database like MongoDB with a more flexible document-based approach to data management.

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