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Database vs. Data Warehouse: What’s the Difference?

Jet Global

A data warehouse is typically used by companies with a high level of data diversity or analytical requirements. The good news is, nowadays you can find business intelligence solutions with pre-built data warehouses to eliminate complexity, significantly reduce cost, and decrease risk. Enhancing a Data Warehouse with Cubes.

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Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

However, you might face significant challenges when planning for a large-scale data warehouse migration. The data warehouse is highly business critical with minimal allowable downtime. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring.

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What Is Embedded Analytics?

Jet Global

Application Imperative: How Next-Gen Embedded Analytics Power Data-Driven Action Download Now While traditional BI has its place, the fact that BI and business process applications have entirely separate interfaces is a big issue. Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis.