Big Data Processing
Big Data Processing refers to the techniques and technologies used to store, manage, and analyze large and complex datasets that cannot be processed by traditional data processing systems. It involves the use of distributed computing systems, such as Hadoop and Spark, to process and analyze massive amounts of data in parallel across multiple nodes. Big Data Processing also involves the use of advanced analytics techniques, such as machine learning and natural language processing, to extract insights and knowledge from the data. The goal of Big Data Processing is to enable organizations to make data-driven decisions and gain a competitive advantage in their respective industries.
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