Rill is an operational BI tool that provides fast dashboards your team will actually use. Try Rill for free: curl https://t.co/yx4CT8dCym | shrilldata.com San Francisco & GlobalJoined April 2020
💡Tip Thursday - use AI to generate metrics with one click💡
The metrics views are the heart of a Rill project. They define the measures and dimensions that support the end user dashboards. In this video, Jon shares a diagram to showcase how metrics views work.
Learn more:…
That’s a wrap on another great DMEXCO! We loved chatting with customers & prospects on how to gain real insights from your data. Everyone deserves an analytics data stack that is simple, flexible, and cost efficient! If we missed you, hope to catch you at our next round of events…
💡Tip Thursday - did you know that there's no need for extra design work for your team?💡
In this video, watch how a developer configures a Rill Explore for the end business user. After you complete the work for modeling the data, the Rill Explore automatically provides a…
Rill is the leading BI tool for adtech and e-commerce platforms. 1000s of users use Rill on a daily basis for operational analytics (think campaign performance, advertiser/publisher reporting, error troubleshooting).
Are you going to #DMEXCO next week? We'd love to meet up! 👋…
"Querying billions of weather records and getting results in under 200 milliseconds isn’t theory; it’s what real-time analytics solutions provide."
Mindblowing demo of @ClickHouseDB + @RillData from @sspaeti... that you can run on your own laptop :).
"Querying billions of weather records and getting results in under 200 milliseconds isn’t theory; it’s what real-time analytics solutions provide."
Mindblowing demo of @ClickHouseDB + @RillData from @sspaeti... that you can run on your own laptop :). https://t.co/EOJAAvTZEA
Front page of HackerNews 🎉 Thanks for collaborating on another great piece @sspaeti.
This article is for data engineers and practitioners who want to build analytics that deliver sub-second query responses, and who want to unlock ClickHouse’s full potential for real-time…
Data modeling got on the back burner for way too long. But one that is even less written about is the modeling of real-time analytics, so-called OLAP cubes.
How do we model them? Do we take a different approach to DWHs? At what level of granularity do we persist/cache?
💡Tip Thursday - watch this video for a tour of the Rill project structure💡
Rill is 100% BI-as-code which means all of the files are visible on the left hand sidebar. The breadcrumbs on top show exactly how the visualization is built out (source → model → metrics → explore)…
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