Amazon Simple Storage Service is simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.
Twitter is a social networking platform that allows its users to send and read micro-blogs of up to 280-characters known as “tweets”. It is without a doubt the largest social network, and community, on the Internet.
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It's easy to connect Amazon S3 + Twitter without coding knowledge. Start creating your own business flow.
Triggers when you add or update a file in a specific bucket. (The bucket must contain less than 10,000 total files.)
Triggers every time the specified user likes a tweet.
Triggers every time you create a new tweet.
Triggers whenever your chosen user gets a new follower.
Triggers whenever you gain a new follower.
Triggers from mention of search term in a specific geo location.
Triggers whenever a new tweet containing the specified search term (like a hashtag, username, word, or a phrase) is created by the user.
Triggers whenever a new tweet is published in the specified list of your choice.
Triggers every time a specific user tweets.
Create a new Bucket
Creates a brand new text file from plain text content you specify.
Copy an already-existing file or attachment from the trigger service.
A user is added to one of your lists.
Includes an image in the tweet.
Composes a tweet.
(30 seconds)
(10 seconds)
(30 seconds)
(10 seconds)
(2 minutes)
Amazon S3 is a cloud storage solution provided by Amazon.com. It offers web-scale computing capacity that makes storage and data retrieval easy. This service is popular among software developers, as it provides an affordable and reliable storage space for their applications.
Twitter is a social networking and microblogging service that allows users to send and read other users’ messages or “tweets”. Tweets are identified by their unique identifiers, which are similar to the URLs of websites. The service was created in 2006 and became popular in 2007. Twitter has over 500 million registered users, with about 340 million active daily users.
Amazon S3 enables users to sign up for a web services account and start using its features, such as object storage, without having to install any software or manage servers directly. To make use of Amazon S3, the user needs only to make web service calls using his credentials. Although this makes Amazon S3 simpler to use than other cloud storage services, it still requires a server behind the scenes to handle the requests and deliver the responses. Twitter also has a lot of traffic, but it does not have a direct connection to objects stored in Amazon S3. Therefore, it cannot stream data from these objects directly into its user interface. However, by connecting Amazon S3 with Twitter’s application program interfaces (APIs), the two can be integrated together. Therefore, Twitter would be able to access objects stored on Amazon S3 directly.
Integrating Amazon S3 with Twitter would allow all tweets to be stored on the S3 servers so that they can be accessed quickly and easily. This will lessen the load on the Twitter servers. Further, it will improve Twitter’s image as well as its sales by providing users with an additional free service. Moreover, integrating Amazon S3 with Twitter will open up new opportunities in data mining and large-scale computation analysis. In addition, integration of Amazon S3 with Twitter can be used for other applications apart from just storing tweets. Integrating the two can also help companies to store and process their data at a much faster rate, allowing them to analyze trends more effectively.
Amazon S3 is a cloud storage solution provided by Amazon.com. It offers web-scale computing capacity that makes storage and data retrieval easy. This service is popular among software developers, as it provides an affordable and reliable storage space for their applications. Integrating Twitter with Amazon S3 will enable the latter to store all tweets on the former’s servers so that they can be accessed quickly and easily. This will lessen the load on the Twitter servers, improve Twitter’s image as well as its sales by providing users with an additional free service, open up new opportunities in data mining and large-scale computation analysis, and allow companies to store and process their data at a much faster rate, allowing them to analyze trends more effectively.
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