Connect Data from Instagram to Metabase
Instagram is a very popular and free image and video-sharing app from Facebook. With over one billion active users, Instagram is a leading social media platform. Instagram offers businesses a wide range of incredibly powerful marketing tools. The app is available on Android, Apple iOS, and Windows Phone. Instagram allows people to upload photos and videos to the service and also share them with their online followers or with a specific group of friends.
You can choose from different types of ads, like photo ads, carousel ads, video ads, and stories ads. Users can also view, like, and comment on posts shared by their friends on the app. An Instagram account collects data in an Instagram API data warehouse. Companies often have to extract that valuable data for analysis in their business intelligence tools.
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.
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, Instagram 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.