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Data Modeling. Data modeling is a process used to define and analyze datarequirements needed to support the business processes within the scope of corresponding information systems in organizations. For example, accurate data processing for ATMs or online banking. PredictiveAnalytics.
Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving datarequirements.
A data warehouse may be the better choice if the business has vast amounts of data that require complex analysis. Data warehouses are designed to handle large volumes of data and support advanced analytics, which is why they are ideal for organizations with extensive historical datarequiring in-depth analysis.
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