Upload

Loading icon Loading...

This video is unavailable.

Realtime Analytics for Big Data: A Facebook Case Study

Sign in to YouTube

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

Sign in to YouTube

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

Sign in to YouTube

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

Uploaded on Dec 5, 2011

Knowing what your users are doing on your site in real time and matching what they do with more targeted information transforms into better conversion rate and better user satisfaction, which means more money in the end. That's been one of the primary drivers for the transition of many of the batch oriented analytics system into real time. FaceBook real time analytics system is a good reference on that regard.

In the first part of the session we will understand and learn from Facebook's experience and the reason they chose Hbase over Cassandra. In the second part of the session we learn how we can build our own Real Time analytics system, achieve better performance, and make the deployment and scaling significantly simpler using commonly used Java API and frameworks such as JPA and Spring ontop of a scale-out architecture based on Cassandra and GigaSpaces.

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.

Loading icon Loading...

Loading...
Working...
to add this to Watch Later

Add to