Toward a Modern Data Architecture for Embedded Analytics
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Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind.
Download the white paper to see the 7 most common approaches to building a high-performance data architecture for embedded analytics. Discover the pros and cons of each approach, plus how to choose the right architecture for your business priorities, timeline, and customers.
- 7 approaches to data architecture for embedded analytics—from a transactional database to a columnar or in memory database
- 9 questions to ask yourself when planning your ideal architecture
- Expert guidelines for a high-performance, analytics-ready modern data architecture