How to combine data from MySQL CDC with BL.INK

Pipes allows you to quickly Integrate MySQL CDC with BL.INK data for a combined analysis.
Load data from MySQL CDC and BL.INK into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to MySQL CDC, BL.INK, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to MySQL CDC and BL.INK

You just need to enter the associated credentials to allow Pipes access to the MySQL CDC API and the BL.INK API.
3

Combine data from MySQL CDC and BL.INK

Pipes lets you select the data from MySQL CDC and BL.INK that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About MySQL CDC

MySQL is a popular open-source RDBMS (relational database management system) and offered under two different editions: the open source MySQL Community Server and the proprietary Enterprise Server. The MySQL Enterprise Server is differentiated by a series of proprietary extensions which install as server plugins but is built from the same code base.

About BL.INK

BL.INK is a short link management platform that enables businesses to make smarter use of their links by creating custom-branded short links using actual words, in order to manage their brand identity.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.