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In fact, BI projects used to take many months to complete and require huge numbers of IT professionals to extract data. However, over time new technologies and tools developed to ease data reporting and analysis. Saving time and headaches with onlineanalyticalprocessing tool. Are you on top of your quality game?
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.
ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business dataquality rules and load raw data as well.
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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