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Fluentd Talk at MongoDB SV User Group

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Fluentd Talk at MongoDB SV User Group

· Database Zone
Free Resource

Learn how to create flexible schemas in a relational database using SQL for JSON.

Fluentd loves MongoDB

My name is Kaz, and I am the CTO of Treasure Data. Recently, I gave a presentation at MongoDB Silicon Valley User Group titled "Fluentd loves MongoDB."

For those who don’t know what Fluentd is…Fluentd is a log collector daemon written in Ruby. It receives logs as a JSON stream, buffers them, and sends them to other systems like MongoDB.

We originally developed it to solve the problem of data collection for our own service. Since open-sourcing it last October, it’s been deployed at many organizations including SlideShare/LinkedIn, ContextLogic, Viki, NHN, and many others.

Fluentd and MongoDB work well together because both handle data as JSON objects. A number of Fluentd’s users deploy MongoDB for real-time analysis whilie delegating batch analysis to their Hadoop backend (or Treasure Data :-p)

About Treasure Data

Treasure Data provides cloud data warehousing, based on Hadoop. Using Treasure Data, you can turn massive data into profits in days, not months or years. Also, we’re hiring engineers, especially those with an eye for clean, robust API. Please contact us if you are interested!

 

 

Create flexible schemas using dynamic columns for semi-structured data. Learn how.

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Published at DZone with permission of Sadayuki Furuhashi, DZone MVB. See the original article here.

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