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OLAP on a Distributed Database: Produce Dazzling Metrics with Unmatched Precision

OLAP on a Distributed Database: Produce Dazzling Metrics with Unmatched Precision

What’s the point of storing data if you can’t do anything with it?
An analytical tool enables you to take the data you are already investing good money to obtain and maintain and do things with it that generate greater returns on your investment.

RavenDB, historically an OLTP Database, now provides OLAP ETL that lets you continuously move your data into a data lake and store it in columnar form so you can create any reports you like using the business intelligence solution of your choice.
In a distributed database, you can take data from thousands of edge points and combine it to learn amazing things about your organization.

Things like, how many products did you sell at 12 noon on Tuesday? Is there a correlation between the weather and the number of people entering your store? Are you spending too much in inventory for the month of March?
Implementing RavenDB’s Time Series model on an ACID and Distributed database gives you the opportunity to achieve unprecedented levels of productivity and find new ways to increase sales by uncovering new insights about your business using statistics more precise than anything you’ve ever recorded.

Watch RavenDB CEO Oren Eini show you how to move your RavenDB data into a data lake, and then create a report with dazzling metrics.

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Webinar Details

Level Beginner to Expert
Audience Developers, Architects, DevOps
Duration 43 minutes
Published 2021/08/10