Data engineering is the process of collecting, storing, processing, and managing large volumes of data in a way that enables organizations to extract valuable insights and make informed decisions.

Data Engineering can help your business by providing efficient and scalable data infrastructure, enabling better data management and analytics capabilities, and ultimately driving informed decision-making.

The key elements of a data engineering project include data ingestion, data storage, data processing, data transformation, data modeling, and data integration.

A company typically needs a Data Engineering service when it requires the management, processing, and integration of large and complex data sets, especially when these data sets are used for analytics, machine learning, or artificial intelligence applications. Data Engineering helps to ensure that data is reliable, accessible, and optimized for efficient use.