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BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.
Technicals such as data warehouse, onlineanalyticalprocessing (OLAP) tools, and datamining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, datamining, and so forth. BI software solutions (by FineReport).
The data warehouse is highly business critical with minimal allowable downtime. The performance tests should simulate production-like workloads and data volumes to validate the performance under realistic conditions. About the authors Chanpreet Singh is a Senior Lead Consultant at AWS, specializing in DataAnalytics and AI/ML.
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