Data Engineering vs Data Science
In today’s data-driven world, businesses rely on skilled professionals to transform raw information into actionable insights. Two major fields that power this transformation are data engineering and data science. While both play a critical role in the data ecosystem, they serve different functions, and often work together to drive business success. If you're a business owner, IT leader, or consultant looking to invest in a data engineering service and process or a data science service and process, this blog will help you understand the differences, overlaps, and how to choose the right path for your organisation. What Is Data Engineering? Data engineering focuses on the design, development, and management of systems that store, process, and move data. Think of data engineers as the architects and builders who create the infrastructure necessary for high-quality, scalable data workflows. Key Components of Data Engineering Building ETL/ELT pipelines Managing cloud data w...