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Engineering Analytics
Warehouses and Lakes

How to load data from GCS to Weaviate

Learn how to use Airbyte to synchronize your GCS data into Weaviate within minutes.

TL;DR
What is GCS
What is Weaviate
Prerequisites
Step 1: Setup GCS
Step 2: Setup Weaviate
Step 3: Setup a connectionUse CasesWrapping Up
Example H2
Example H3

Sync data between GCS and Weaviate

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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 GCS as a source connector (using Auth, or usually an API key)
  2. set up Weaviate 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 GCS

Google Cloud Storage is a cloud-based storage service that allows users to store and access their data from anywhere in the world. It provides a highly scalable and durable storage solution for businesses and individuals, with features such as automatic data replication, versioning, and access control. Google Cloud Storage offers different storage classes to suit different needs, including multi-regional, regional, nearline, and coldline storage. It also integrates with other Google Cloud services, such as BigQuery and Cloud Functions, to enable data analysis and processing. Overall, Google Cloud Storage provides a reliable and flexible storage solution for businesses of all sizes.

What is Weaviate

Weaviate is an open-source, cloud-native, real-time vector search engine that allows developers to build intelligent applications with natural language processing (NLP) capabilities. It uses machine learning algorithms to understand the meaning of unstructured data and provides a semantic search engine that can retrieve relevant information from large datasets. Weaviate can be used to build chatbots, recommendation systems, and other intelligent applications that require NLP capabilities. It is designed to be scalable, flexible, and easy to use, with a RESTful API that allows developers to integrate it into their applications quickly. Weaviate is built on top of Kubernetes and can be deployed on-premises or in the cloud.

Integrate GCS with Weaviate in minutes

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Prerequisites

  1. A GCS account to transfer your customer data automatically from.
  2. A Weaviate 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 GCS and Weaviate, for seamless data migration.

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

Step 1: Set up GCS as a source connector

1. First, navigate to the Airbyte website and create an account.
2. Once you have logged in, click on the ""Sources"" tab on the left-hand side of the screen.
3. Scroll down until you find the ""Google Cloud Storage"" source connector and click on it.
4. Click on the ""Create Connection"" button.
5. Enter a name for your connection and click on the ""Next"" button.
6. Enter your Google Cloud Storage credentials, including your project ID, service account email, and private key.
7. Click on the ""Test Connection"" button to ensure that your credentials are correct.
8. Once your connection has been successfully tested, click on the ""Create Connection"" button.
9. Your Google Cloud Storage source connector is now connected to Airbyte and ready to use.

Note: It is important to ensure that your Google Cloud Storage account has the necessary permissions to allow Airbyte to access your data. Additionally, it is recommended to review Airbyte's documentation and best practices for securing your data and connections.

Step 2: Set up Weaviate as a destination connector

1. First, navigate to the Weaviate destination connector on Airbyte's website.
2. Click on the "Get Started" button to begin the setup process.
3. Enter the required credentials for your Weaviate instance, including the URL, API key, and schema name.
4. Test the connection to ensure that the credentials are correct and the connection is successful.
5. Choose the tables or collections that you want to sync from your source connector to Weaviate.
6. Map the fields from your source connector to the corresponding fields in Weaviate.
7. Set up any necessary transformations or filters to ensure that the data is formatted correctly for Weaviate.
8. Schedule the sync to run at regular intervals or manually trigger it as needed.
9. Monitor the sync to ensure that the data is being transferred correctly and troubleshoot any issues that arise.
10. Once the sync is complete, verify that the data has been successfully transferred to Weaviate.

Step 3: Set up a connection to sync your GCS data to Weaviate

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

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

Use Cases to transfer your GCS data to Weaviate

Integrating data from GCS to Weaviate provides several benefits. Here are a few use cases:

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

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a GCS account as an Airbyte data source connector.
  2. Configure Weaviate as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from GCS to Weaviate 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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Connectors Used

GCS
Weaviate

Related Syncs with GCS

Tags

Google Products

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

GCS
Weaviate

Related Syncs with GCS

Google Cloud Storage to Convex
Google Cloud Storage to RabbitMQ
Google Cloud Storage to Teradata Vantage
Google Cloud Storage to Typesense
Google Cloud Storage to Weaviate

Tags

Google Products

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Frequently Asked Questions

What data can you extract from GCS?

Google Cloud Storage's API provides access to various types of data, including:

1. Object data: This includes files and other data objects stored in Google Cloud Storage buckets.

2. Metadata: This includes information about the objects stored in the buckets, such as their size, creation date, and content type.

3. Access control data: This includes information about who has access to the objects stored in the buckets and what level of access they have.

4. Bucket data: This includes information about the buckets themselves, such as their name, location, and storage class.

5. Logging data: This includes information about the activity in the buckets, such as who accessed them and when.

6. Transfer data: This includes information about data transfers to and from the buckets, such as the amount of data transferred and the transfer speed.

Overall, the Google Cloud Storage API provides access to a wide range of data related to object storage and management in the cloud.

What data can you transfer to Weaviate?

You can transfer a wide variety of data to Weaviate. 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 GCS to Weaviate?

The most prominent ETL tools to transfer data from GCS to Weaviate include:

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

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