The Data Engineer’s Journal

  Data Warehouse :   A data warehouse is a centralized repository that stores structured and processed data from various sources. It's optimized for querying and analysis, typically using a schema-on-write approach, where data is structured and organized before being loaded into the warehouse. Data warehouses are designed for supporting business intelligence (BI) and analytics applications, providing fast and reliable access to historical data. Q.  How do data lakes differ from data warehouses, and what are their primary characteristics? Unlike data warehouses, data lakes store raw, unstructured, or semi-structured data in its native format. They use a schema-on-read approach, where data is ingested without prior structuring, allowing for flexible exploration and analysis.  Data lakes are designed to store vast amounts of data at a low cost and support a wide range of data processing and analytics use cases, including data exploration, machine learning, and advanced...