Connect Data from Twitter to Metabase
You can get your Twitter data into Metabase to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data from Twitter and then analyze it in Metabase. Our Twitter to Metabase connector allows you to access your Twitter data so you can easily manage various media objects, view metadata, and comments, and get reliable insights and metrics, such as reach, impressions, follower-like ratio, and likes. Integrate your Twitter with Metabase to turn your Twitter data into actionable insights.
Twitter is a popular online social networking as well as news service. It enables users to read, post and send short messages (140 characters in length) called "tweets". People frequently post Tweets, which can contain photographs, links, videos, and text. Note that these messages are posted to your Twitter profile, sent to your Twitter followers, and are also easily searchable on Twitter search.
Although registered users can both read and post tweets, unregistered users only have access to read. Twitter allows its users access through the website interface, the mobile app, and SMS. Twitter also allows marketers and business brands to advertise on its incredibly popular platform. You can capture data about popular retweets, content, social shares and a lot more for advanced analytics.
Metabase is one of the simplest ways to get your data in front of anyone on your team. Metabase, an open-source BI tool, offers easy way to generate both charts and dashboards, see in-depth information about rows in your database and ask simple ad hoc queries without having to use SQL. Metabase installs in just a couple of minutes and can work with a variety of databases, such as MySQL, Amazon Redshift and PostgreSQL.
Lightweight, incredibly fast, and free, for people who want to visualize and query, Metabase lets its users save queries and also add their favorite visualizations to a convenient dashboard. Metabase uses machine learning for analyzing the data it collects and recommends how you can design more effective marketing campaigns.
Before loading your data into Metabase, you will have to prep it first. If you don't already have a data structure in which to store the data you retrieve, you'll have to create a schema for your data tables. Then, for each value in the response, you'll need to identify a predefined datatype (INTEGER, DATETIME, etc.) and build a table that can receive them.
Twitter's documentation should tell you what fields are provided by each endpoint, along with their corresponding datatypes. Complicating things is the fact that the records retrieved from the source may not always be "flat" – some of the objects may actually be lists. In these cases you'll likely have to create additional tables to capture the unpredictable cardinality in each record.
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Note that Twitter makes its data available to its users through its Standard search API. This API offers data on several things, such as ad insights, estimated positions, estimated bids, and many other types of data.
As long as you can bring your data to Metabase, this amazing software will help you in analyzing it. You have the option to connect various data types from Facebook Ads and Google Analytics to Crate and Mongo, etc. All you have to do is simply specify parameters to connect to Metabase and data warehouse and then select the data that you want to replicate.
With Improvado, you can ensure that you always have the latest data from all your cloud applications in the data warehouse. In most cases, you would like to organize your data in the warehouse a little differently than in a cloud app. You may also want to make a schema for OLAP or just have target tables for the data you have already created.
If that is the case, you can use our amazing data import tools. With flexible configuration and powerful mapping settings, our import tool allows the loading of data between data sources of varying structures.
Keeping data up to date
The key is building your script so that it can sense incremental updates made to the data.
Thankfully, Twitter’s Standard search API results include fields so that you can identify those records which are new since the last update you made (or since the most recent record you have copied). Once you have taken new data into consideration, you can easily set your script either as a continuous loop or cron job to pull down new data as soon as it appears.
The Easiest And Fastest Way To Do It
If all this sounds a bit overwhelming, don't worry -- there is an easier way to get this done!
Thankfully, products like Improvado were developed to move data from Twitter to Metabase automatically. Using Improvado, you can easily combine the most crucial and relevant data from your ad campaign into a dashboard. You can then connect this data to Metabase.