Final answer:
Big data storage problems include managing massive volumes of information requiring advanced storage and processing capabilities. Supercomputers and complex algorithms are essential for data management, and citizen science projects like the "Galaxy Zoo" offer innovative solutions.
Step-by-step explanation:
The challenges of data management associated with big data storage are significant and multifaceted. One of the key problems is the sheer volume of data, exemplified by the Sloan Survey, which generated data at a rate of 8 megabytes per second, accumulating more than 15 terabytes of information. Such volumes of data require immense storage capacities and advanced data processing techniques to organize, sort, and extract valuable insights.
Another challenge is that traditional data analysis tools are often inadequate for handling such large datasets, necessitating the use of supercomputers and sophisticated algorithms. Moreover, the complexity of big data often means that it encompasses a wide variety of data types and structures, further complicating data management tasks. To address some of these issues, innovative solutions like the "Galaxy Zoo" project leverage citizen science and crowd-sourcing, tapping into the collective power of volunteers to classify data in ways computers alone cannot.