Tutorials

Mapping and adding columns using our built-in widget is a powerful feature you can use to build your data pipelines

How to use Spark SQL in your data pipeline

Incorporate Apache Spark SQL directly in your pipeline

Export output from AWS S3

Download your reports delivered to AWS S3 directly via Data Pipelines

How to use External Variables in your Data Pipeline

Learn how to use dynamic external variables as part of a collaborative data pipeline process

Connect AWS DynamoDB to Google Sheets

Data Pipelines lets you move and combine data between AWS DynamoDB and Google Sheets.

How to build your first data pipeline

3 min read

Create a simple data pipeline in a few clicks

How to transform your data using Data Pipelines

Learn how to change the structure of your connected data using our no code SQL themed tools

An Introduction to Projects using Data Pipelines

Organize your data pipelines into logical groups

Collaboration and sharing

Shared resources within your Data Pipelines organization

Google services and scopes

Important information about disconnecting Google services

Data Connections

How data connections work

How caching works

How Data Pipelines makes pipeline building efficient by using a cache

How to schedule your first pipeline

Run recurring workloads using Data Pipelines' built-in scheduler

Clone, share and modify data pipeline JSON definitions

Take advantage of data pipelines JSON definitions

How to add users to your Data Pipelines organization

Share pipelines and collaborate

How to use Google BigQuery Views in Data Pipelines

Use views to load multiple tables with wildcards

Connect Google Analytics to Data Pipelines

Learn how to connect Google Analytics to Data Pipelines.

Connect Google BigQuery to Data Pipelines

3 min read

Learn how to connect Google Big Query to Data Pipelines.

This is how to connect Amazon S3 to Google Sheets

Use Data Pipelines to connect S3 to Google Sheets & schedule data to feed reports.