- Source
- Files
Move Parquet File data anywhere it matters.
Pull Parquet File data into any warehouse or AI app.
Source
Parquet File
Snowflake
BigQuery
Postgres
Databricks
Claude
Overview
What is the Airbyte Parquet File connector?
The Airbyte Parquet File connector extracts data from Parquet File and loads it into 50+ destinations such as Snowflake, BigQuery, Databricks or Postgres, with scheduled sync. It publishes tables and events you can select per connection.
- 01
Sync to your warehouse
Land Parquet File data in your warehouse on a schedule you control.
- 02
One authorization
Authenticate once; every scheduled sync keeps running.
- 03
Cloud or self-hosted
Run the Parquet File connector on Cloud, OSS, Hybrid.
Setup
Live in nine steps
Open the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
Click on the "Create Connection" button and select "Parquet File" from the list of available connectors.
Enter a name for your connection and click on "Next".
In the "Configuration" tab, enter the path to your Parquet file in the "File Path" field.
If your Parquet file is password-protected, enter the password in the "Password" field.
If your Parquet file is encrypted, select the appropriate encryption type from the "Encryption Type" dropdown menu and enter the encryption key in the "Encryption Key" field.
Click on "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Parquet file.
If the test is successful, click on "Create" to save your connection.
You can now use this connection to create a new Airbyte pipeline and start syncing data from your Parquet file to your destination.
Hybrid deployment
Sovereign by architecture, not by policy.
The data plane runs in your environment. Records, credentials and keys stay with you; the control plane only receives configuration and job metadata.
- Cloud
- OSS
- Hybrid
Your environment
Airbyte control plane
Related connectors
FAQ
Parquet File connector questions
What data can you extract from Parquet File?
Parquet File's API gives access to various types of data, including:
• Structured data: Parquet files can store structured data in a columnar format, making it easy to query and analyze large datasets.
• Semi-structured data: Parquet files can also store semi-structured data, such as JSON or XML, allowing for more flexibility in data storage.
• Unstructured data: Parquet files can store unstructured data, such as text or binary data, making it possible to store a wide range of data types in a single file.
• Big data: Parquet files are designed for big data applications, allowing for efficient storage and processing of large datasets.
• Machine learning data: Parquet files are commonly used in machine learning applications, as they can store large amounts of data in a format that is optimized for processing by machine learning algorithms.
Overall, Parquet File's API provides access to a wide range of data types, making it a versatile tool for data storage and analysis in a variety of applications.
How do I transfer data from Parquet File?
1. Open the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
2. Click on the "Create Connection" button and select "Parquet File" from the list of available connectors.
3. Enter a name for your connection and click on "Next".
4. In the "Configuration" tab, enter the path to your Parquet file in the "File Path" field.
5. If your Parquet file is password-protected, enter the password in the "Password" field.
6. If your Parquet file is encrypted, select the appropriate encryption type from the "Encryption Type" dropdown menu and enter the encryption key in the "Encryption Key" field.
7. Click on "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Parquet file.
8. If the test is successful, click on "Create" to save your connection.
9. You can now use this connection to create a new Airbyte pipeline and start syncing data from your Parquet file to your destination.
What are top ETL tools to transfer data from Parquet File?
The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.
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