5 simple steps using DataSift on how you can leverage Historic Twitter Data. With Sentiment, Topic Analysis, Entity Extraction, Language Detection, Klout Data, Klout Profiles, Trend Analysis.

1. TWITTER HISTORIC DATA
IN 5 SIMPLE STEPS

2. STEP 1 - VISUAL QUERY
• EASY TO LEARN INTERFACE
• COMPLEX QUERIES IN SECONDS
• CAN CONVERT TO CSDL FOR
VERY ADVANCED WORK
• GEO, PATTERN MATCHING, NEAR
WORD + MUCH MORE.

3. STEP 2 - PICK DATES
• ALL AUGMENTATIONS AVAILABLE
• ANY COMPLEXITY OF QUERY
• FULL PRIVACY COMPLIANCE
• DOES NOT RELY UPON AMAZON
• 100x FASTER THAN REAL-TIME

4. STEP 3 - PICK DESTINATION

5. STEP 4 - CONFIGURE
• 5 DESTINATIONS AVAIL NOW
• MongoDB, CouchDB + Elastic
Search Launch soon.
• Transfer Rates up to 480Mbit/s (per
destination)
• ALL AVAILABLE VIA API

6. STEP 5 - DELIVER
Historics
• GUARANTEED DATA DELIVERY
• DELIVER DIRECT INTO YOUR
OWN INFRASTRUCTURE
• SAME DELIVERY FOR REAL-TIME +
HISTORICS
• DELIVERY TO MULTIPLE AZ’s
• ALL AVAILABLE VIA API