DataSift customers migrating to Gnip for Twitter data will notice there are many feature gaps. We know that most of our customers use us to process more than just Twitter data. One big advantage of our platform is that you can augment, filter and classify data consistently across all of your sources. To help make your transition as smooth as possible, and to help you to continue to use our platform features we have released a solution that lets you process your Twitter data via DataSift and allows you to continue to use our features going forward. While DataSift will not be interfacing directly with Gnip, this solution will allow you to post-process Twitter data with DataSift so that you can continue to: Augment data adding link metadata, sentiment and VEDO FOCUS topics Filter data, refining the dataset you receive from Gnip using full CSDL features Classify data, applying tags, scores and machine learning using VEDO Deliver data to your destinations using push connectors While the solution will unfortunately not be able to fill every gap, it will save you investing a vast amount of custom development time, and will allow you to keep providing many of your key features.

1. Open Data Processing

2. Lars Dyrelund
Product Manager
DataSift
lars@datasift.com

3. Open Data Processing for Twitter
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What is it?
How does it work?
Getting started
Demo

4. Solution Overview
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5. 5
Turn Human Data into Meaning
Open Data Processing - Closed Beta in September. Sign up by emailing: lars@datasift.com

6. How Open Data Processing Works
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Data Source &
Rate Limits

7. The DataSift Connector
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8. How It Works, the Details… Data Mapping
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9. What You Need To Do
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Gnip filter
(i.e. Honda OR Ford OR…)
CSDL
(i.e.
focus.content.categories
=="automotive industry"
AND
twitter.place.country_code
=="US")

10. Historics Support
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11. DEMO

12. Questions?

13. THANK YOU