Note: Big data techs are essential for efficient processing and analytics of continuously arriving, often unstructured data (e.g., texts, images, video, audio) that is not necessarily large in volume. In some cases, even petabyte-scale data is better to be managed with traditional techs (e.g., when it’s structured, tabular data like financial and transactional data, customer demographics).
Does your data combine large volume and low complexity? Then you are most likely to benefit from data warehouse implementation. Check our dedicated DWH implementation guide.
