The Differences Between Engineering and Data Software

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

To manage large amounts of data and information at scale companies need experts to gather and prepare it for further analysis. These experts are known as data engineers. They employ programming languages to build systems that collect data and transform it into formats suitable for other specialists in data – such as data scientists or business intelligence (BI) developers.

When developing their pipelines data engineers are aware of the way data is modelled, stored, secured and encoded. They could also suggest or implement ways to improve accuracy, reliability and quality. They might, for instance, help end users seamlessly merge data by adding uniform IDs.

After their ETL is complete Data engineers usually create applications for analytics to help other people benefit from the company’s information. This includes creating visualizations to highlight important data like employee and customer trends, product performance, and more. They also design and maintain data platforms that employees can access through APIs or web-based interfaces such as a dashboard.

To do this, they need to be able to operate a variety of databases and storage technologies. For instance, they could utilize SQL to query a relational database and tools like Python for more flexible and powerful ETL processes. They could also deploy an NoSQL data store such as MongoDB which provides the flexibility of document-based data management.