What characteristic of Big Data can lead to challenges in data management?

The characteristic of Big Data that presents challenges in data management is indeed the high volume of data generated. This immense quantity of data can make it difficult for organizations to store, process, and analyze effectively. With volumes that can reach terabytes or even petabytes, traditional data management tools often struggle to handle such scalability, leading to potential bottlenecks in processing and storage capabilities.

As data volume increases, there are also additional complexities associated with data orchestration, retrieval, and real-time processing. Organizations must adopt advanced technologies and frameworks, such as distributed computing and cloud storage solutions, to manage and analyze large datasets efficiently. This can require significant investment in both infrastructure and expertise, thereby complicating the overall data management strategy.

In contrast, aspects like clarity of data sources, standardized formats, and consistency of data integrity are generally considered to be positive attributes that facilitate data management, implying that they do not inherently contribute to the challenges associated with Big Data.