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What is Data Management?

Data management encompasses the practices, policies, and technologies used to collect, store, process, and secure data throughout its lifecycle. It ensures data quality, accessibility, and compliance, supporting decision-making and business operations. Data management includes aspects such as data governance, security, and metadata management.

Cryptography
Cryptography is the practice of securing communication and data through mathematical techniques, ensuring confidentiality, integrity, and authenticity. It involves encryption and decryption methods that protect sensitive information from unauthorized access. Cryptography is widely used in cybersecurity, digital signatures, blockchain, and secure communications to safeguard data from threats.
Data security
Data security encompasses strategies, policies, and technologies designed to protect digital information from unauthorized access, breaches, and cyber threats. It includes encryption, access controls, firewalls, and threat monitoring to ensure data integrity, confidentiality, and availability across networks and storage systems.
Sentiment Analysis
Sentiment analysis refers to the process of using natural language processing (NLP) to analyze text and determine sentiment polarity, such as positive, negative, or neutral. It is widely used in social media monitoring, customer feedback analysis, and market research.