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.
Active Data Warehouse (ADW) is a combination of products, features, services, and business partnerships that support Active Business Intelligence business strategy.
SearchGPT is a technology offered by OpenAI to improve artificial intelligence-powered search and information discovery processes. Going beyond traditional search engines, SearchGPT combines natural language processing (NLP) and advanced language models to provide more accurate, meaningful, and context-appropriate answers to users' questions.
As its full name suggests (Structured Query Language), SQL is responsible for querying and modifying information stored in a specific database management system.
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