The method of managing and analyzing large volumes of data to extract meaningful insights.
Big data processing refers to the techniques and technologies used to handle, store, and analyze considerably vast amounts of structured and unstructured data. This process enables organizations to derive insights, make informed decisions, and become more efficient. Key technologies include distributed computing frameworks, data storage solutions, and advanced analytics tools.
Some of the frameworks that find use in big data processing include Hadoop and Spark, which allow for parallel processing across multiple servers, thus significantly increasing the speed and efficiency of data analysis. The data involved can come from various sources, including social media and transaction records, making it diverse and complex.
Organizations use big data processing to spot trends, predict customer behavior, and optimize business processes. The insights can lead to improved products and services, and better customer experiences.