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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

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Financial Intelligence vs. Business Intelligence: What’s the Difference?

Jet Global

A new paradigm in reporting and analysis is emerging. There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report).

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What Is Embedded Analytics?

Jet Global

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions.

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The Missing Link in Your Power BI/ERP Data Chain

Jet Global

Their combined utility makes it easy to create and maintain a complete data warehouse solution with very little effort. Gone are the days of relying on your overtaxed IT department for the reports that fuel your business. Jet acts as the perfect conduit between your ERP data and Power BI. Hitting a Reporting Wall.