How to load data from Excel File to Google PubSub

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

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Set up a Excel File connector in Airbyte

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

Set up Google PubSub for your extracted Excel File data

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

Configure the Excel File 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

set up Excel File as a source connector (using Auth, or usually an API key)
set up Google PubSub as a destination connector
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 Excel File

Excel File is a software application developed by Microsoft that allows users to create, edit, and analyze spreadsheets. It is widely used in businesses, schools, and personal finance to organize and manipulate data. Excel File offers a range of features including formulas, charts, graphs, and pivot tables that enable users to perform complex calculations and data analysis. It also allows users to collaborate on spreadsheets in real-time and share them with others. Excel File is available on multiple platforms including Windows, Mac, and mobile devices, making it a versatile tool for data management and analysis.

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 Excel File with Google PubSub in minutes

Try for free now

Prerequisites

A Excel File account to transfer your customer data automatically from.
A Google PubSub account.
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 Excel File and Google PubSub, for seamless data migration.

When using Airbyte to move data from Excel File to Google PubSub, it extracts data from Excel File 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 Excel File data for advanced analytics and insights within Google PubSub, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Excel File as a source connector

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Excel File" source connector and select "Create new connection."
3. In the "Connection Configuration" page, enter a name for your connection and select the version of Excel you are using.
4. Click on "Add Credential" and enter the path to your Excel file in the "File Path" field.
5. If your Excel file is password-protected, enter the password in the "Password" field.
6. Click on "Test" to ensure that the connection is successful.
7. Once the connection is successful, click on "Create Connection" to save your settings.
8. You can now use this connection to extract data from your Excel file and integrate it with other data sources on Airbyte.

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 Excel File data to Google PubSub

Once you've successfully connected Excel File 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:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Excel File from the dropdown list of your configured sources.
Select your destination: Choose Google PubSub from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific Excel File objects you want to import data from towards Google PubSub. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Excel File 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 Excel File data.

Use Cases to transfer your Excel File data to Google PubSub

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

Advanced Analytics: Google PubSub’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Excel File data, extracting insights that wouldn't be possible within Excel File alone.
Data Consolidation: If you're using multiple other sources along with Excel File, 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.
Historical Data Analysis: Excel File has limits on historical data. Syncing data to Google PubSub allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Google PubSub provides robust data security features. Syncing Excel File data to Google PubSub ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Google PubSub can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Excel File data.
Data Science and Machine Learning: By having Excel File data in Google PubSub, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Excel File 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 Excel File 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:

Configure a Excel File account as an Airbyte data source connector.
Configure Google PubSub as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Excel File 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!

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How to Sync Excel File to Google PubSub Manually

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FAQs

What is ETL?

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.

What is Excel File?

What data can you extract from Excel File?

The Excel File provides access to a wide range of data types, including:
• Workbook data: This includes information about the workbook itself, such as its name, author, and creation date.
• Worksheet data: This includes data about individual worksheets within the workbook, such as their names, positions, and formatting.
• Cell data: This includes information about individual cells within the worksheets, such as their values, formulas, and formatting.
• Chart data: This includes data about any charts that are included in the workbook, such as their types, data sources, and formatting.
• Pivot table data: This includes information about any pivot tables that are included in the workbook, such as their data sources, fields, and formatting.
• Macro data: This includes information about any macros that are included in the workbook, such as their names, code, and security settings.

Overall, the Excel File's API provides developers with a comprehensive set of tools for accessing and manipulating data within Excel workbooks, making it a powerful tool for data analysis and management.

How do I transfer data from Excel File?

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 Excel File 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 Excel File 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.

What is ELT?

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.

Difference between ETL and ELT?

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.

Back to all tutorials

Databases

Files

How to load data from Excel File to Google PubSub

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

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is Excel File

What is Google PubSub

Prerequisites

Step 1: Setup Excel File

Step 2: Setup Google PubSub

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Excel File and Google PubSub

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Excel File as a source connector (using Auth, or usually an API key)
set up Google PubSub as a destination connector
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 Excel File

What is Google PubSub

Integrate Excel File with Google PubSub in minutes

Try for free now

Prerequisites

A Excel File account to transfer your customer data automatically from.
A Google PubSub account.
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.

Step 1: Set up Excel File as a source connector

Step 2: Set up Google PubSub as a destination connector

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

Once you've successfully connected Excel File 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:

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Excel File from the dropdown list of your configured sources.
Select your destination: Choose Google PubSub from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific Excel File objects you want to import data from towards Google PubSub. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Excel File 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 Excel File data.

Use Cases to transfer your Excel File data to Google PubSub

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

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