Answer:
Big data
Step-by-step explanation:
Big data refers to data sets that are too large, complex, and dynamic for traditional data management and processing software to process and analyze efficiently. These data sets typically involve a high volume, velocity, and variety of data, which require specialized tools and technologies to extract insights and knowledge. Big data sources include social media, mobile devices, sensors, and other digital platforms that generate massive amounts of data in real time. The main challenges of big data include capturing, storing, managing, and analyzing the data effectively and ensuring data security, privacy, and ethical use. Big data analytics tools such as Hadoop, Spark, and NoSQL databases have been developed to process and extract insights from large and complex data sets to address these challenges.