5 Key Questions for App-Driven Analytics

2 years ago thenewstack.io

Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →

Data that powers applications and data that powers analytics typically live in separate domains in the data estate. Applications are used for engaging with customers, while analytics are for insight.

How do developers combine live application data in hot database storage with aged data in cooler cloud storage to make predictions?

How do developers access the tools they need to build sophisticated analytics queries directly into their application code?

It minimizes data movement and duplication, eliminating data silos, reducing architectural complexity and unlocking analytics faster on live operational data.

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