Unlocking the power and unveiling the challenges of big data management and analysis: insights from diverse domains

Massive data is being generated daily from various sources, including social data, machine data, and transactional data, and is characterized by the three Vs: velocity, volume, and variety [13]. Understanding data quality is crucial in dataintensive domains, as data and processing techniques impact the reliability of data sources and analytics Technologies such as the Internet of Things, geolocation systems, cameras, smart devices, and social media contribute to the generation of diverse data types used for decision-making, often employing computational intelligence methods like deep learning and artificial intelligence [68]. The management of big data has become more complex with the introduction of new strategies like data lakes, affecting industries across the board [9, 10].