Data Science is an interdisciplinary field that uses various techniques, algorithms, processes, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of statistics, mathematics, computer science, and domain expertise to analyze and interpret complex data sets.
Data Science is an interdisciplinary field that uses various techniques, algorithms, processes, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of statistics, mathematics, computer science, and domain expertise to analyze and interpret complex data sets.
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Data Warehouses and Data Lakes
Data Warehouses and Data Lakes are both systems used for storing and managing large volumes of data, but they serve different purposes and have distinct characteristics. Below is a detailed comparison of the two.
Real-Time Streaming Analytics
Real-time streaming analytics is the continuous processing and analysis of data streams as they are created, allowing organizations to derive insights and take action in real-time. This approach is crucial for applications that require immediate decision-making based on current data, enabling businesses to respond to events as they happen.
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Common applications include fraud detection, customer segmentation, recommendation systems, predictive maintenance, and natural language processing (NLP).
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