Big data and data warehousing both aim to extract business value from data. Data warehousing stores structured data from internal systems in a centralized location for analysis. Big data handles large, complex, and unstructured data both within and outside the organization. It uses tools for storage, analysis, and visualization of diverse data types. A case study shows how a shoe company uses both approaches - a data warehouse for core transaction data and big data to analyze external sources and predict customer behavior. While different in scope and data sources, both can provide valuable insights when used together.