The Data engineering life cycle has the following 5 stages Generation: This is where data is created. Think of it as information being born. It can come from various sources like e-commerce sites, weather sensors, or even your favourite video games scores. Storage: This stage is all about saving data in a secure place, such as big databases or cloud storage, so it can be easily accessed later. Ingestion: Ingestion is like gathering all the data from different places and putting it into one big bucket. This stage involves taking data from various sources and moving it into a central storage system where it can be processed. Transformation: It involves cleaning and organizing the data, removing errors, joining multiple tables, removing duplicates, applying business rules, and converting it into a useful format. Serving Data: This stage ensures that data is easy to access and use, whether it's for creating reports, running apps, or making decisions.
Download the medial app to read full posts, comements and news.