How to combine data from Freshdesk with Google BigQuery

Pipes allows you to quickly Integrate Freshdesk with Google BigQuery data for a combined analysis.

Load data from Freshdesk 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 Freshdesk, 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.

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.

Connect to Freshdesk and Google BigQuery

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

Combine data from Freshdesk and Google BigQuery

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

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About Freshdesk

Freshdesk is a cloud-based customer support software and helpdesk solution. The platform offers a comprehensive set of tools and features to help businesses support and advice their customers.

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.

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