Data Sources

Data sources refer to the various locations and formats from which data can be collected and stored for analysis. These sources can include databases, spreadsheets, text files, APIs, and more. In the context of data science and artificial intelligence, the ability to access and integrate data from multiple sources is crucial for building accurate and comprehensive models. Data sources can be both structured and unstructured, and may require preprocessing and cleaning before they can be used effectively. Additionally, data sources may be internal or external to an organization, and may require different levels of access and security measures.

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Automated Storage Tiering: Automated Storage Tiering is a data storage technique that automatically moves data between different types of storage media based on the frequency of data access and the performance requirements of the application. The technique involves t ... Read More >>
Biometric Authentication: Biometric authentication is a security process that uses unique biological characteristics such as fingerprints, facial recognition, iris scans, and voice recognition to verify the identity of an individual. Biometric authentication is used ... Read More >>
MQTT: MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for IoT (Internet of Things) devices and low-bandwidth, high-latency or unreliable networks. It is a publish-subscribe protocol that allows devices to s ... Read More >>

Data Sources

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