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A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a datalake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and datalakes can coexist in an organization, complementing each other.
Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced dataprocessing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). The data warehouse is highly business critical with minimal allowable downtime.
Onlineanalyticalprocessing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem.
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