Data Engineering

What is a Data Lake in Simple Terms A Data Lake is a storage system where you can keep data in its raw format: structured (like database tables), semi-structured (JSON, XML), and even unstructured (logs, videos, images). The main idea is: you don’t need to clean and organize data upfront. You store everything “as is,” and later, when you analyze it, you apply structure and rules as needed. Data Lake vs Data Warehouse Data Warehouse (DWH) — data is cleaned and transformed before storage (ETL). Data Lake — raw data is stored first, and structure is applied later (ELT). Think of it this way: ...

Who is DataOps and Why It Matters DataOps (Data Operations) is a methodology and role that focuses on improving the quality, speed, and reliability of data delivery for analytics and decision-making. If DevOps optimizes software delivery, and MLOps optimizes machine learning workflows, then DataOps ensures organizations can effectively manage and deliver data. What Does a DataOps Engineer Do? A DataOps engineer builds and maintains processes and infrastructure that guarantee fast and trustworthy data pipelines. ...