How to combine data from BL.INK with Google BigQuery

Pipes allows you to quickly Integrate BL.INK with Google BigQuery data for a combined analysis.
Load data from BL.INK and Google BigQuery into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to BL.INK, Google BigQuery, 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 BL.INK and Google BigQuery

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

Combine data from BL.INK and Google BigQuery

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

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.

About Google BigQuery

Google BigQuery is a fully managed cloud data warehouse for analytics used by Fortune 500 companies as well as startups. While Google BigQuery works in conjunction with Google Storage for interactive analysis of massively large data sets it can scan TeraBytes in seconds and PetaBytes in minutes.

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.