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What is Data Engineering?

by Iwan Price-Evans on Machine Learning • May 20, 2022

Data engineering is a growing field within computer science that helps businesses manage large amounts of data. It involves working with databases, software development, and analytics.

Data engineers use tools like SQL (Structured Query Language) and NoSQL (Not Only SQL) to store information in databases. They also create applications that analyze data using algorithms and machine learning.

Why Should You Care About Data Engineering?

As more people use mobile devices and social media platforms, the amount of data being collected has increased exponentially. Companies need to find ways to store and analyze big data so they can better serve their customers.

What Does Data Engineering Involve?

  • A data engineer works with data scientists to help companies understand how their data is used by analyzing trends and patterns.
  • They work with developers to make sure that new applications are compatible with existing ones.
  • They work with other members of an organization to ensure that the company’s data systems are secure and reliable.