Data-intensive Applications
Data-intensive applications are software systems that are designed to process and analyze large volumes of data. These applications typically require specialized infrastructure and tools to handle the scale and complexity of the data. Data-intensive applications are used in a variety of industries, including finance, healthcare, and e-commerce. They are often used for tasks such as data mining, machine learning, and real-time analytics. These applications require a high degree of scalability, fault tolerance, and performance to handle the large volumes of data that they process. Data-intensive applications are typically built using distributed systems and parallel processing techniques to achieve the required performance and scalability.
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