Do you need access to Amazon Seller Central data? Marketing data from Instagram, Facebook, Amazon Advertising, or Google Ads? Do you want to unify this data in a private, trusted, and easy-to-use data lake or cloud warehouse? Data pipelines are exactly what you need to accomplish this goal.
Data Source To Data Destination
A data pipeline reflects a connector from a specific data source, say Amazon Seller Central, to an industry-leading data destination like Amazon Redshift, Facebook Presto, Snowflake, Azure Data Lake Storage, Google BigQuery, and Amazon Athena.
Openbridge automates the processes of integrating with a data source, collecting, processing, cataloging, and loading data to a private, customer-owned destination.
Data Pipeline Examples
Our pipeline example will use a customer called "My Lifestyle." This customer uses Instagram for marketing, Google for paid search, Facebook for advertising, and Amazon for global e-commerce.
How many data pipelines will My Lifestyle need? First, they have five data sources;
Amazon Seller Central
Each data source has multiple profiles and accounts. These profiles and accounts for each data source will drive the number of data pipelines they will need. Here is the breakdown for each data source:
Amazon Seller Central
Each data source will require a data pipeline for each unique account, user, or profile. For example, Instagram Business needs two pipelines, one for "@mylifestylestore" and another for "@mylifestylebranding" accounts. Since these are two distinct Instagram accounts, they each need a separate data pipeline to a target destination.
My Lifestyle has six Amazon Seller Central stores. Each reflects a unique "mylifestylestore" store in six different countries (US, CA, MX, UK, DE, ES). This would be six data pipelines, one for each marketplace.
In total My Lifestyle will need 14 data pipelines for Instagram, Facebook, Google, and Amazon.
Connecting Your Own Data Tools
After we deliver the data, you are free to use an incredibly diverse array of tools like Looker, Tableau, Power BI, and many others to explore, analyze, and visualize data to understand business performance. Data ownership means you make the choices on how to apply business rules, models, or transformations with the tools that drive productivity.
Automated, Code-Free Data Pipelines
When we reference fully-automated, code-free data pipelines, we mean just that, there is no code. Our solution is a point and click, software-as-a-service platform for data pipeline automation. All we ask you to do is point us in the direction of the data source you want to collect data from and then tell us where the data should be delivered. That is it, we handle everything in-between via automation.
While there are some people who want to tinker with code under the hood, our solutions are centered on those that prefer not to. Everything we do is focused on efficient, easy-to-use, end-to-end automation.
The end result? While we are focused on delivering a robust platform architecture, data wrangling, and ops, your teams can focus on using data in ways that lead to better, faster decision-making.
For our approach to data pipeline automation, see Data Pipeline Automation: Say Goodbye To Data That Is Messy, Complicated, Scary, And A Pain To Deal With
Looking to build your own data pipeline software? See 12 Things To Consider When Rolling Your Own Data Pipelines
How do we deliver data to you? See Data Catalog: How We Organize and Manage Data In Your Data Lake or Cloud Warehouse