Final answer:
The characteristics of big data that present challenges in carrying out market analytics on big data in data warehouses are Volume, Velocity, Variety, and Veracity.
Step-by-step explanation:
The characteristics of big data that present challenges in carrying out market analytics on big data in data warehouses are Volume, Velocity, Variety, and Veracity.
Volume: Big data refers to large volumes of data that are too vast to be processed using traditional methods. Analyzing and storing such huge volumes of data can be a challenge in data warehouses.
Velocity: Big data is generated and updated rapidly, making it difficult to process and analyze the data in real-time. Data warehouses need to handle the high velocity of incoming data to provide accurate and timely market analytics.
Variety: Big data contains various types of data, including structured, unstructured, and semi-structured data. Each type requires different processing and analysis techniques, which pose challenges in data warehouses.
Veracity: Big data can be of inconsistent quality and accuracy, making it challenging to ensure the reliability and correctness of the data for market analytics in data warehouses.