Data cleanup, or data rubbing, is the process of detecting and correcting or removing data or records that are incorrect from a database. It also includes correcting or removing unformatted or duplicate data or records. The data removed in this process is often referred to as “dirty data”. Data cleaning is a necessary process to protect data quality. Large businesses with extensive datasets or assets typically use automated tools and algorithms to detect such records and correct common errors (such as missing zip codes in customer records).
The most powerful big data circles have rigorous data cleanup tools and processes to ensure that data quality is protected and trust in datasets is high for all types of users.
Data virtualization is the reproduction of real data in a virtual environment. In this way, tests, experiments and analyses performed when working with real data can be carried out without compromising the accuracy and security of the real data.
AI Agents are artificial intelligence systems that can autonomously navigate complex workflows in digital environments using large language models. These systems possess the capability to plan, execute actions, and utilize various digital tools far beyond the information retrieval and content generation capabilities of traditional chatbots.
A private cloud is a cloud computing model that is designed entirely specifically for the needs of a company or organization, using hardware and software resources exclusively for that company.
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