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Storing Twitter Data in Relational Databases - Part 1
posted on 25 February 2015 by Jim Moffitt
Introduction There are many ways to store social media data, such as in files, NoSQL-type datastores, and relational databases. This is an introduction to a series of articles on storing Twitter data in relational databases. There are several key questions to ponder as you design your database schema: What metadata is provided and what of it is needed for analysis and research? How big will your database get? Are you continually filling your data store from a 24/7 stream of data? Or are you working with a historical and static dataset? How long will the data be stored? Will the... keep reading
Visualizing Twitter Geo Data
Describes the processes involved in plotting geotagged Tweets on a map built in d3, useful in web based visualization.
03 December 2014
Consuming, Parsing, and Processing Tweets with Python
Explores a Python script that performs a simple but complete parsing of JSON-formatted social media data, such as would be streamed or downloaded from a Gnip API endpoint.
27 October 2014
Data and Rule Management with jq
Tips on how to use jq to inspect JSON data, debug invalid PowerTrack rules, and generate new PowerTrack rules from a plain-text file.
24 September 2014
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Add, delete, and list rules on the PowerTrack Rules API.
Historical PowerTrack
Create and manage Historical PowerTrack jobs.
Search API
Send Search and Counts requests to the Search API.
Rehydration API
Request Tweets via the Rehydration API.
Data Collector Stream
Connect to the streaming endpoint of Data Collector streams.
Data Collector Polling
Retrieve data from your Data Collector with GET polling.
Data Collector Rule Management
Add, delete, and list rules on your Data Collector feeds.
