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What is Big Data?

Big Data refers to large and complex datasets that require specialized tools and technologies for processing and analysis. It is characterized by the three Vs: Volume (massive amounts of data), Velocity (high-speed data generation), and Variety (structured and unstructured data). Big Data analytics is used in fields such as healthcare, finance, marketing, and cybersecurity to extract valuable insights and drive data-driven decisions.

Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is an AI technique that enhances text generation models by retrieving relevant information from external sources before generating responses. This approach improves the accuracy, relevance, and contextual awareness of AI-generated content. RAG is widely used in knowledge-based AI applications, including chatbots, search engines, and automated research tools.
Data masking
Data masking is a security technique that replaces real data with fictitious yet structurally similar data to prevent unauthorized access while maintaining usability. It is widely used in testing, analytics, and compliance processes to protect sensitive data such as personally identifiable information (PII) and financial records.
Data Store
Data store refers to a storage system or repository that holds data in various formats, including structured, semi-structured, and unstructured data. It serves as a foundation for databases, data lakes, and other storage solutions, enabling efficient data retrieval and management.

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