TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

1. set up Parquet File as a source connector (using Auth, or usually an API key)
2. set up Clickhouse as a destination connector
3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Parquet File

What is Clickhouse

Prerequisites

1. A Parquet File account to transfer your customer data automatically from.
2. A Clickhouse account.
3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Parquet File and Clickhouse, for seamless data migration.

When using Airbyte to move data from Parquet File to Clickhouse, it extracts data from Parquet File using the source connector, converts it into a format Clickhouse can ingest using the provided schema, and then loads it into Clickhouse via the destination connector. This allows businesses to leverage their Parquet File data for advanced analytics and insights within Clickhouse, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Parquet File as a source connector

Step 2: Set up Clickhouse as a destination connector

Step 3: Set up a connection to sync your Parquet File data to Clickhouse

Once you've successfully connected Parquet File as a data source and Clickhouse as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
2. Choose your source: Select Parquet File from the dropdown list of your configured sources.
3. Select your destination: Choose Clickhouse from the dropdown list of your configured destinations.
4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
5. Select the data to sync: Choose the specific Parquet File objects you want to import data from towards Clickhouse. You can sync all data or select specific tables and fields.
6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Parquet File to Clickhouse according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Clickhouse data warehouse is always up-to-date with your Parquet File data.

Use Cases to transfer your Parquet File data to Clickhouse

Integrating data from Parquet File to Clickhouse provides several benefits. Here are a few use cases:

1. Advanced Analytics: Clickhouse’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Parquet File data, extracting insights that wouldn't be possible within Parquet File alone.
2. Data Consolidation: If you're using multiple other sources along with Parquet File, syncing to Clickhouse allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
3. Historical Data Analysis: Parquet File has limits on historical data. Syncing data to Clickhouse allows for long-term data retention and analysis of historical trends over time.
4. Data Security and Compliance: Clickhouse provides robust data security features. Syncing Parquet File data to Clickhouse ensures your data is secured and allows for advanced data governance and compliance management.
5. Scalability: Clickhouse can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Parquet File data.
6. Data Science and Machine Learning: By having Parquet File data in Clickhouse, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
7. Reporting and Visualization: While Parquet File provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Clickhouse, providing more advanced business intelligence options. If you have a Parquet File table that needs to be converted to a Clickhouse table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

1. Configure a Parquet File account as an Airbyte data source connector.
2. Configure Clickhouse as a data destination connector.
3. Create an Airbyte data pipeline that will automatically be moving data directly from Parquet File to Clickhouse after you set a schedule