Raw-Data Analytics: Add use case with Bitmovin

Author: amotl

docs/domain/analytics/index.md

@@ -0,0 +1,57 @@
+(analytics)=
+# Raw-Data Analytics
+
+**CrateDB provides real-time analytics on raw data.**
+
+In domains of real-time analytics, where you absolutely must have access to all
+the records, and can't live with any down-sampled variant, because records are
+unique, and need to be accounted for within your analytics queries, you need a
+storage system which manages all the data in its hot zone, to be available on
+your fingertips.
+
+With CrateDB, compatible to PostgreSQL, you can do all of that using plain SQL,
+with excellent integration capabilities into commodity systems using standard
+database access interfaces like ODBC or JDBC, and a proprietary HTTP interface
+on top.
+
+
+(bitmovin)=
+## Bitmovin Insights
+
+::::{info-card}
+
+:::{grid-item}
+:columns: 8
+
+{material-outlined}`analytics;2em`   **Bitmovin: Real-Time Analytics**
+
+Bitmovin, as a leader in video codec algorithms and as a web-based video
+stream broadcasting provider, produces billions of rows of data and stores
+them in CrateDB, allowing their customers to do analytics on it.
+
+Their product required to serve real-time analytics on very large and fast-moving
+data, so they needed to find a performing database at the right cost.
+
+- [Bitmovin: Improving the Streaming Experience with Real-Time Analytics]
+
+The use-case of Bitmovin demonstrates why traditional databases weren't capable
+to deal with so many data records and keep them all available for querying in
+real time.
+
+:Industry: {tags-secondary}`Streaming Media` {tags-secondary}`Media Transcoding` {tags-secondary}`Broadcasting`
+:Tags: {tags-primary}`Event Tracking` {tags-primary}`Customer Analytics` {tags-primary}`Multi-Tenancy`
+:::
+
+:::{grid-item}  
+:columns: 4
+
+<iframe width="240" src="https://www.youtube-nocookie.com/embed/4BPApD0Piyc?si=J0w5yG56Ld4fIXfm" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
+
+**Date:** 14 Oct 2022 \
+**Speakers:** Daniel Hölbling-Inzko, Georg Traar
+:::
+
+::::
+
+
+[Bitmovin: Improving the Streaming Experience with Real-Time Analytics]: https://youtu.be/4BPApD0Piyc?feature=shared

docs/domain/index.md

@@ -12,6 +12,7 @@ how to use CrateDB optimally, related to different topic domains.
 
 document/index
 search/index
+analytics/index
 industrial/index
 timeseries/index
 ../integrate/ml/index

docs/domain/timeseries/video.md

@@ -108,6 +108,34 @@ Niklas Schmidtmer
 ::::
 
 
+## CrateDB in Analytics Applications
+
+::::{info-card}
+
+:::{grid-item} **Real-time analytics on raw tracking data**
+:columns: 9
+
+Learn how Bitmovin leverages CrateDB to support real-time analytics on
+top of tracking data from their video streaming broadcasting system.
+
+- [](#bitmovin)
+:::
+
+:::{grid-item}  
+:columns: 3
+
+{tags-secondary}`Extensive` \
+{tags-primary}`Time Series` \
+{tags-primary}`Tracking Analytics` \
+{tags-info}`2022`
+
+Daniel Hölbling-Inzko, \
+Georg Traar
+:::
+
+::::
+
+
 ## CrateDB in Industrial Applications
 
 ::::{info-card}