Data engineering is all about building the systems that make data usable for analysis. This involves:
Collecting data from various sources, which can be structured (like databases) or unstructured (like social media text).
Storing the data in a way that's efficient and accessible for analysis. This often involves big data technologies.
Transforming the data into a clean and usable format. This might involve cleaning the data, removing errors, and organizing it consistently.
Making the data accessible to data scientists and analysts who can use it to get insights. Data engineers build tools and pipelines to automate these processes. #dataengineering #datascience #python #bigdatahadoop