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DataSift Historics in 5 Steps

by Nick Halstead on Sep 19, 2012

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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.

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DataSift Historics in 5 Steps Presentation Transcript

TWITTER HISTORIC DATA IN 5 SIMPLE STEPS

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.

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

STEP 3 - PICK DESTINATION

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

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