(AI/ML): Introduction to Data Engineering
Data has always been dubbed as the "new oil". A very fitting anology. Just as with oil, data is useless and even dangerous in its raw form. Just like with oil, which needs to be refined, transported safely, and delivered to the right place at the right time in order to useful, data must go through the similar process. This is where the Data Engineer comes in. While Data Scientists are like chefs who create a masterpiece meal (the insights and AI models), Data Engineers are the architects and contractors who build the industrial kitchen. They ensure the water lines are pressurised, the electricity is stable, and the ingredients arrive fresh and sorted every morning. In this article, we will have a quick look into: What is data engineering? what are data pipelines? what is ETL and ELT? why is data quality important? etc. 1. The Core Mission: Building the Pipes The primary responsibility of a data engineer is to build the infrastructure and reliability required f...