How to load data from Dremio to Google PubSub

Learn how to use Airbyte to synchronize your Dremio data into Google PubSub within minutes.

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Set up a Dremio connector in Airbyte

Connect to Dremio or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Google PubSub for your extracted Dremio data

Select Google PubSub where you want to import data from your Dremio source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Dremio to Google PubSub in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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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 Dremio as a source connector (using Auth, or usually an API key)
  2. set up Google PubSub 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 Dremio

Dremio is a data-as-a-service platform that enables businesses to access and analyze their data faster and more efficiently. It provides a self-service data platform that connects to various data sources, including cloud storage, databases, and data lakes, and allows users to query and analyze data using familiar tools like SQL and BI tools. Dremio's unique approach to data processing, called Data Reflections, accelerates query performance by automatically creating optimized copies of data in memory. This allows users to get insights from their data in real-time, without the need for complex data pipelines or data warehousing. Dremio also provides enterprise-grade security and governance features to ensure data privacy and compliance.

What is Google PubSub

Google Pub/Sub is an asynchronous messaging service built to be both highly reliable and scalable. Based on a component of Google’s infrastructure, Pub/Sub offers the capabililty of sending more than 500 million messages (over 1 TB of data) per second.

Integrate Dremio with Google PubSub in minutes

Try for free now

Prerequisites

  1. A Dremio account to transfer your customer data automatically from.
  2. A Google PubSub 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 Dremio and Google PubSub, for seamless data migration.

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

Step 1: Set up Dremio as a source connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the ""Sources"" tab on the left-hand side of the screen.
3. From there, click on the ""New Source"" button in the top right corner of the screen.
4. In the search bar, type ""Dremio"" and select the Dremio source connector from the list of available connectors.
5. Next, you will need to enter your Dremio connection details, including the host, port, username, and password.
6. Once you have entered your connection details, click on the ""Test"" button to ensure that your connection is working properly.
7. If the test is successful, click on the ""Save"" button to save your Dremio source connector.
8. You can now use your Dremio source connector to connect to your Dremio data source and begin syncing your data with Airbyte.
9. To start syncing your data, click on the ""Connections"" tab on the left-hand side of the screen and create a new connection using your Dremio source connector.
10. Follow the prompts to select your desired tables and fields to sync, and then click on the ""Start Sync"" button to begin syncing your data.

Step 2: Set up Google PubSub as a destination connector

1. Go to the Airbyte website and log in to your account.
2. Click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Google Sheets" destination connector and click on it.
4. Click on the "Create Destination" button.
5. Enter a name for your destination and click on the "Create" button.
6. You will be redirected to the Google Sheets authorization page. Sign in to your Google account if you haven't already.
7. Click on the "Allow" button to grant Airbyte access to your Google Sheets account.
8. Select the Google Sheets spreadsheet you want to use as your destination.
9. Choose the sheet you want to use as your destination table.
10. Map the fields from your source connector to the corresponding columns in your destination table.
11. Click on the "Save & Test" button to test your connection.
12. If the test is successful, click on the "Activate" button to start syncing your data to your Google Sheets destination.

Step 3: Set up a connection to sync your Dremio data to Google PubSub

Once you've successfully connected Dremio as a data source and Google PubSub 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 Dremio from the dropdown list of your configured sources.
  3. Select your destination: Choose Google PubSub 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 Dremio objects you want to import data from towards Google PubSub. 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 Dremio to Google PubSub according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google PubSub data warehouse is always up-to-date with your Dremio data.

Use Cases to transfer your Dremio data to Google PubSub

Integrating data from Dremio to Google PubSub provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Google PubSub’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Dremio data, extracting insights that wouldn't be possible within Dremio alone.
  2. Data Consolidation: If you're using multiple other sources along with Dremio, syncing to Google PubSub 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: Dremio has limits on historical data. Syncing data to Google PubSub allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Google PubSub provides robust data security features. Syncing Dremio data to Google PubSub ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Google PubSub can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Dremio data.
  6. Data Science and Machine Learning: By having Dremio data in Google PubSub, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Dremio provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Google PubSub, providing more advanced business intelligence options. If you have a Dremio table that needs to be converted to a Google PubSub table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

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

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
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Sync with Airbyte

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the ""Sources"" tab on the left-hand side of the screen.
3. From there, click on the ""New Source"" button in the top right corner of the screen.
4. In the search bar, type ""Dremio"" and select the Dremio source connector from the list of available connectors.
5. Next, you will need to enter your Dremio connection details, including the host, port, username, and password.
6. Once you have entered your connection details, click on the ""Test"" button to ensure that your connection is working properly.
7. If the test is successful, click on the ""Save"" button to save your Dremio source connector.
8. You can now use your Dremio source connector to connect to your Dremio data source and begin syncing your data with Airbyte.
9. To start syncing your data, click on the ""Connections"" tab on the left-hand side of the screen and create a new connection using your Dremio source connector.
10. Follow the prompts to select your desired tables and fields to sync, and then click on the ""Start Sync"" button to begin syncing your data.

1. Go to the Airbyte website and log in to your account.
2. Click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Google Sheets" destination connector and click on it.
4. Click on the "Create Destination" button.
5. Enter a name for your destination and click on the "Create" button.
6. You will be redirected to the Google Sheets authorization page. Sign in to your Google account if you haven't already.
7. Click on the "Allow" button to grant Airbyte access to your Google Sheets account.
8. Select the Google Sheets spreadsheet you want to use as your destination.
9. Choose the sheet you want to use as your destination table.
10. Map the fields from your source connector to the corresponding columns in your destination table.
11. Click on the "Save & Test" button to test your connection.
12. If the test is successful, click on the "Activate" button to start syncing your data to your Google Sheets destination.

Once you've successfully connected Dremio as a data source and Google PubSub 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 Dremio from the dropdown list of your configured sources.
  3. Select your destination: Choose Google PubSub 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 Dremio objects you want to import data from towards Google PubSub. 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 Dremio to Google PubSub according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google PubSub data warehouse is always up-to-date with your Dremio data.

How to Sync Dremio to Google PubSub Manually

FAQs

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Dremio is a data-as-a-service platform that enables businesses to access and analyze their data faster and more efficiently. It provides a self-service data platform that connects to various data sources, including cloud storage, databases, and data lakes, and allows users to query and analyze data using familiar tools like SQL and BI tools. Dremio's unique approach to data processing, called Data Reflections, accelerates query performance by automatically creating optimized copies of data in memory. This allows users to get insights from their data in real-time, without the need for complex data pipelines or data warehousing. Dremio also provides enterprise-grade security and governance features to ensure data privacy and compliance.

Dremio's API provides access to a wide range of data types, including:

1. Structured data: This includes data that is organized into tables with defined columns and rows, such as data from relational databases.

2. Semi-structured data: This includes data that has some structure, but is not organized into tables, such as JSON or XML data.

3. Unstructured data: This includes data that has no predefined structure, such as text documents, images, and videos.

4. Big data: This includes large volumes of data that cannot be processed using traditional data processing tools, such as Hadoop and Spark.

5. Streaming data: This includes real-time data that is generated continuously, such as data from IoT devices or social media feeds.

6. Cloud data: This includes data that is stored in cloud-based services, such as Amazon S3 or Microsoft Azure.

Overall, Dremio's API provides access to a wide range of data types, making it a powerful tool for data integration and analysis.

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 Dremio to Google Pubsub as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Dremio to Google Pubsub and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud. 

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Databases
Warehouses and Lakes

How to load data from Dremio to Google PubSub

Learn how to use Airbyte to synchronize your Dremio data into Google PubSub within minutes.

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 Dremio as a source connector (using Auth, or usually an API key)
  2. set up Google PubSub 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 Dremio

Dremio is a data-as-a-service platform that enables businesses to access and analyze their data faster and more efficiently. It provides a self-service data platform that connects to various data sources, including cloud storage, databases, and data lakes, and allows users to query and analyze data using familiar tools like SQL and BI tools. Dremio's unique approach to data processing, called Data Reflections, accelerates query performance by automatically creating optimized copies of data in memory. This allows users to get insights from their data in real-time, without the need for complex data pipelines or data warehousing. Dremio also provides enterprise-grade security and governance features to ensure data privacy and compliance.

What is Google PubSub

Google Pub/Sub is an asynchronous messaging service built to be both highly reliable and scalable. Based on a component of Google’s infrastructure, Pub/Sub offers the capabililty of sending more than 500 million messages (over 1 TB of data) per second.

Integrate Dremio with Google PubSub in minutes

Try for free now

Prerequisites

  1. A Dremio account to transfer your customer data automatically from.
  2. A Google PubSub 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 Dremio and Google PubSub, for seamless data migration.

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

Step 1: Set up Dremio as a source connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the ""Sources"" tab on the left-hand side of the screen.
3. From there, click on the ""New Source"" button in the top right corner of the screen.
4. In the search bar, type ""Dremio"" and select the Dremio source connector from the list of available connectors.
5. Next, you will need to enter your Dremio connection details, including the host, port, username, and password.
6. Once you have entered your connection details, click on the ""Test"" button to ensure that your connection is working properly.
7. If the test is successful, click on the ""Save"" button to save your Dremio source connector.
8. You can now use your Dremio source connector to connect to your Dremio data source and begin syncing your data with Airbyte.
9. To start syncing your data, click on the ""Connections"" tab on the left-hand side of the screen and create a new connection using your Dremio source connector.
10. Follow the prompts to select your desired tables and fields to sync, and then click on the ""Start Sync"" button to begin syncing your data.

Step 2: Set up Google PubSub as a destination connector

1. Go to the Airbyte website and log in to your account.
2. Click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Google Sheets" destination connector and click on it.
4. Click on the "Create Destination" button.
5. Enter a name for your destination and click on the "Create" button.
6. You will be redirected to the Google Sheets authorization page. Sign in to your Google account if you haven't already.
7. Click on the "Allow" button to grant Airbyte access to your Google Sheets account.
8. Select the Google Sheets spreadsheet you want to use as your destination.
9. Choose the sheet you want to use as your destination table.
10. Map the fields from your source connector to the corresponding columns in your destination table.
11. Click on the "Save & Test" button to test your connection.
12. If the test is successful, click on the "Activate" button to start syncing your data to your Google Sheets destination.

Step 3: Set up a connection to sync your Dremio data to Google PubSub

Once you've successfully connected Dremio as a data source and Google PubSub 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 Dremio from the dropdown list of your configured sources.
  3. Select your destination: Choose Google PubSub 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 Dremio objects you want to import data from towards Google PubSub. 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 Dremio to Google PubSub according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Google PubSub data warehouse is always up-to-date with your Dremio data.

Use Cases to transfer your Dremio data to Google PubSub

Integrating data from Dremio to Google PubSub provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Google PubSub’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Dremio data, extracting insights that wouldn't be possible within Dremio alone.
  2. Data Consolidation: If you're using multiple other sources along with Dremio, syncing to Google PubSub 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: Dremio has limits on historical data. Syncing data to Google PubSub allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Google PubSub provides robust data security features. Syncing Dremio data to Google PubSub ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Google PubSub can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Dremio data.
  6. Data Science and Machine Learning: By having Dremio data in Google PubSub, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Dremio provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Google PubSub, providing more advanced business intelligence options. If you have a Dremio table that needs to be converted to a Google PubSub table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

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

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Frequently Asked Questions

What data can you extract from Dremio?

Dremio's API provides access to a wide range of data types, including:

1. Structured data: This includes data that is organized into tables with defined columns and rows, such as data from relational databases.

2. Semi-structured data: This includes data that has some structure, but is not organized into tables, such as JSON or XML data.

3. Unstructured data: This includes data that has no predefined structure, such as text documents, images, and videos.

4. Big data: This includes large volumes of data that cannot be processed using traditional data processing tools, such as Hadoop and Spark.

5. Streaming data: This includes real-time data that is generated continuously, such as data from IoT devices or social media feeds.

6. Cloud data: This includes data that is stored in cloud-based services, such as Amazon S3 or Microsoft Azure.

Overall, Dremio's API provides access to a wide range of data types, making it a powerful tool for data integration and analysis.

What data can you transfer to Google PubSub?

You can transfer a wide variety of data to Google PubSub. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Dremio to Google PubSub?

The most prominent ETL tools to transfer data from Dremio to Google PubSub include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Dremio and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Google PubSub and other databases, data warehouses and data lakes, enhancing data management capabilities.

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
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