Twitter 

The LyftrondataProvider for Twitter offers the most natural way to access Twitter data from Lyftrondata with ease and also enables to connect with BI, MDM & ML tools, Data warehouses, Databases and other SAAS based applications with zero code and zero infrastructure requirements. The provider wraps the complexity of accessing Twitter data into easy-to-integrate relational fully managed ANSI Sql format. Make faster and better business decisions with Lyftrondata’s Twitter data provider and automatically build your data migration pipelines in minutes, not months.

The provider hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.

Key Features

• Comprehensive Delta load mechanism.
• Real-time access to Twitter.
• Comprehensive full support of ANSI Sql to query data with ease.
• Collaborative query processing.

Prerequisites

The user must have credentials for Twitter, Lyftrondata and your destination data warehouse, lake or database to perform the data pipeline operation with Lyftrondata.

Establishing a Connection with Lyftrondata's Quickstart Steps

Create your Twitter connection with Lyftrondata by following the 5 easy steps show below:

Step1. Add your connection

Click on Connect section on the left panel →  Click on Add Connection button

Step2. Select your connector

In the connector selection panel, search and click Twitter for your connection 

Step3. Enter your connection details

In the Connection String section enter the values of the below parameters. The following connection string is required to establish Twitter connection with Lyftrondata.

InitiateOAuth=GETANDREFRESH;OAuthClientId=[your_OAuthClientId]; OAuthClientSecret=[your_ServerName]; OAuthAccessToken=[your_User]; OAuthAccessTokenSecret=[your_Password];

Key	Value	Field
Connection Name	Enter your connection details	Required
InitiateOAuth	GETANDREFRESH	Required
Logfile**	Use the logfile option to debug your job and provide your connection name to generate the log file.  [ConnectionConfigurationPath]\Connection_name_log.tx	Optional
Verbosity**	Choose verbosity 1-5 based on the severity of debugging	Optional

** For more information, check the Lyftrondata logging and debugging section.

If you want more detailed information about how to establish a connection with Lyftrondata, click on Lyftrondata Connection Quick Start guide.

Step4. Test your connection

Once you are done entering your connection details, simply click on the Test Connection button to test the connectivity. In case your connection fails, add Logfile and Verbosity parameters and check the Lyftrondata logging and debugging section, to debug the error.

 Step5. Save your connection

Hurray! Now you have successfully connected with the Lyftrondata Twitter connector and can utilize the connector to Extract, Warehouse, Analyze, Visualize and Share your data.

Data Model

The Lyftrondata Provider for Twitter models entities in the Twitter API as tables, views, and stored procedures. These are defined in schema files, which are simple, text-based configuration files.

API limitations and requirements are documented in this section; you can use the SupportEnhancedSQL feature, set by default, to circumvent most of these limitations.

Tables

The Lyftrondata Provider for Twitter models Item Listings in tables so that they can be easily queried, updated, and deleted. You can list items on your Twitter store by calling the AddItem stored procedure.

Views

Views are tables that cannot be modified. Typically, read-only data are shown as views.