YouTube home Comedy Week on YouTube
Upload

Real Time Analytics with MongoDB - Part 3

Diana Knezevic Diana Knezevic·7 videos
1
58 views
Like     Dislike 0

Sign in to YouTube

Sign in with your Google Account (YouTube, Google+, Gmail, Orkut, Picasa, or Chrome) to like Diana Knezevic's video.

Sign in to YouTube

Sign in with your Google Account (YouTube, Google+, Gmail, Orkut, Picasa, or Chrome) to dislike Diana Knezevic's video.

Sign in to YouTube

Sign in with your Google Account (YouTube, Google+, Gmail, Orkut, Picasa, or Chrome) to add Diana Knezevic's video to your playlist.

Published on May 23, 2012

comSysto has built a showcase application for Stream Event Processing and Real-Time Analytics to present the almost limitless possibilities of modern scalable software architectures based on NoSQL databases deployed in the Cloud.

Real-time processing and visualization of large and high-frequency event streams is one of the most common Big Data use cases.

A sharded MongoDB on Amazon EC2 represents the scalable heart of our system allowing four-digit throughput rates per second. Therefore we will discuss design patterns like mongoDB aggregation framework, map-reduce and pre aggregation that enables us to do dynamic live charting with comSysto's "Ubercharts" open-source project.

It integrates the popular open-source charting library Highcharts into the leading web framework Apache Wicket for high-productivity Analytics Development. A data access layer based on Spring Data and REST interfaces bridges MongoDB and Ubercharts.

Take a look at the presentation!

Loading icon Loading...

Loading icon Loading...

Loading icon Loading...

The interactive transcript could not be loaded.

Loading icon Loading...

Loading icon Loading...

Ratings have been disabled for this video.
Rating is available when the video has been rented.
This feature is not available right now. Please try again later.

All Comments (0)

Sign in now to post a comment!
  • Loading comment...
Loading...
Loading...
Working...
Sign in to add this to Watch Later