How to load your data from YouTube Analytics (Studio) to Parquet File

Pipes allows you to automatically replicate your YouTube Analytics (Studio) data into Parquet File on your defined schedule.
Load all your data from YouTube Analytics (Studio) to Parquet File to instantly get access to your YouTube Analytics (Studio) data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your YouTube Analytics (Studio) data into Parquet File. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​

Connect to Parquet File

This will be the destination of all data pipelines you build. Besides Parquet File, Pipes supports the most used relational databases in the cloud and on-premises.

Connect to YouTube Analytics (Studio)

Just enter your credentials to allow Pipes access to the YouTube Analytics (Studio) API. Then Pipes is able to retrieve your data from YouTube Analytics (Studio).

Create a data pipeline from YouTube Analytics (Studio) to Parquet File

Pipes lets you select the data from YouTube Analytics (Studio) you want to have in Parquet File. This pipeline will run automatically on your defined schedule!

About YouTube Analytics (Studio)

YouTube is a renowned video-sharing platform that enables users to view, upload, share, rate, and comment on videos. It makes use of Adobe Flash Video technology to display a wide variety of corporate media and user-generated videos. Content on YouTube includes TV show clips, video clips, audio recordings, music videos, movie trailers, short original videos, video blogging, and educational videos.

About Parquet File

Apache Parquet is an open-source data repository of the Apache Hadoop ecosystem. It is comparable to the other columnar storage formats RCFile and Optimized RCFile available in Hadoop. It is compatible with most data processing frameworks in the Hadoop environment. It provides efficient data compression and encryption systems with improved performance for processing complex data in large volumes.

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.