How to load data from Adjust to Weaviate

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

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Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
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Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

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Set up a Adjust connector in Airbyte

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

Set up Weaviate for your extracted Adjust data

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

Configure the Adjust to Weaviate 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:

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

Adjust is a favorite mobile attribution and deep-linking platform that makes mobile marketing easy. It is a mobile marketing analytics platform trusted by marketers around the world. This permits you to understand your users through attribution, giving you detailed insights into their journey and overall product experience. With a special focus on fraud prevention and data protection, Adjust also provides sophisticated app analytics capabilities to drive your project strategy and optimize your customer experience.

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 Adjust with Weaviate in minutes

Try for free now

Prerequisites

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

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

Step 1: Set up Adjust as a source connector

1. First, navigate to the Adjust source connector page on Airbyte's website.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Adjust credentials, including your API key and app token.
5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Adjust account.
6. Once the test is successful, click "Next".7. Select the tables you want to replicate from Adjust to Airbyte.
8. Choose the replication frequency and the initial replication start date.
9. Click "Create connection" to finalize the setup.
10. Your Adjust source connector is now connected to Airbyte and ready to start replicating data.

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 Adjust data to Weaviate

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

Use Cases to transfer your Adjust data to Weaviate

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

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

Configure a Adjust account as an Airbyte data source connector.
Configure Weaviate as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Adjust 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!

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How to Sync Adjust to Weaviate Manually

Step 1:

Step 2:

Step 3:

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Engineering Analytics

Product Analytics

How to load data from Adjust to Weaviate

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

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 2: Setup Weaviate

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Adjust and Weaviate

Get your data syncing in minutes

Try Airbyte free

TL;DR

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

What is Weaviate

Integrate Adjust with Weaviate in minutes

Try for free now

Prerequisites

A Adjust account to transfer your customer data automatically from.
A Weaviate 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 Adjust as a source connector

Step 2: Set up Weaviate as a destination connector

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

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

Use Cases to transfer your Adjust data to Weaviate

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

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