What is a major challenge of managing big data?

Managing big data presents a variety of challenges, and one significant challenge is indeed finding ways to process and analyze vast amounts of data. With the exponential growth of data generated from a myriad of sources—such as social media, IoT devices, and online transactions—organizations are faced with the task of extracting meaningful insights from these large datasets. This requires not only the right technologies and tools that can handle big data but also innovative methodologies for data processing, analysis, and visualization.

The complexity of processing big data goes beyond merely storing it; it involves developing algorithms and using computational resources that can scale effectively while maintaining performance. Analyzing big data also often requires expertise in data science and statistical modeling to derive actionable insights. Hence, the critical importance of this challenge lies in enabling organizations to leverage big data for decision-making and strategic planning, making it a cornerstone of data management in today's data-driven world.

The other options, while related to data management, do not encompass the core essence of the challenges posed by big data in the same way. Adequate physical storage space is essential but not a challenge exclusive to big data as traditional systems also require storage solutions. Limiting data access to executives only may stem from governance policies but isn't directly tied to the handling