How to load data from Facebook Marketing to TiDB

Learn how to use Airbyte to synchronize your Facebook Marketing data into TiDB within minutes.

Building your pipeline or Using Airbyte

Airbyte is the only open source solution empowering data teams  to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:
  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:
  • Reliable and accurate
  • Extensible and scalable for all your needs
  • Deployed and governed your way
All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and AI Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Facebook Marketing connector in Airbyte

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

Set up TiDB for your extracted Facebook Marketing data

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

Configure the Facebook Marketing to TiDB 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.

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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Setup Complexities simplified!

You don’t need to put hours into figuring out how to use Airbyte to achieve your Data Engineering goals.

Simple & Easy to use Interface

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Airbyte’s built-in assistant helps you choose sources, set destinations, and configure syncs quickly. It’s like having a data engineer on call—without the overhead.

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that enables both incremental and full refreshes for databases of any size, seamlessly scaling to handle large data volumes. Our optimized architecture overcomes performance bottlenecks, ensuring efficient data synchronization even as your datasets grow from gigabytes to petabytes.

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More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s AI Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Raman Singh

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

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Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

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Rupak Patel

Operational Intelligence Manager

"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."

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How to Sync to Manually

Step 1: Access Facebook Marketing API

To begin, you need to access your Facebook Marketing data programmatically. First, create a Facebook Developer account and set up an app. Obtain an access token with the necessary permissions to interact with the Facebook Marketing API. This will allow you to authenticate your requests and retrieve data from your ad accounts.

Step 2: Define Data Requirements

Determine the specific data you need to extract from Facebook Marketing. This could include ad performance metrics, campaign details, audience insights, etc. Clearly defining your data needs will help streamline the extraction process and ensure you gather relevant information.

Step 3: Extract Data Using API Calls

Use the Facebook Marketing API to extract the required data. Write a script in a programming language such as Python or JavaScript to send HTTP requests to the API endpoints. For example, you might use Python's 'requests' library to fetch data. Ensure that your API calls are efficient and handle pagination if the data volume is large.

Step 4: Transform Data for TiDB Compatibility

Once you have extracted the data, it may require transformation to match the schema and data types used in TiDB. Use a scripting language to clean, format, and structure the data appropriately. Common transformations include converting date formats, normalizing text fields, or restructuring nested JSON objects into tabular formats.

Step 5: Configure TiDB Environment

Set up your TiDB environment if you haven't already. This involves installing TiDB on your server or using a managed TiDB service. Ensure that your database is ready to receive new data by creating the necessary tables and defining their schemas based on your transformed data.

Step 6: Load Data into TiDB

With your TiDB environment configured and data transformed, you can begin loading the data. Use SQL commands to insert the data into TiDB tables. Depending on your volume of data, you may use batch inserts to optimize the loading process. Ensure that your SQL operations are efficient to minimize load times and system resources.

Step 7: Validate and Monitor Data Integrity

After loading the data, perform validation checks to ensure data integrity and correctness. Compare sample datasets between Facebook Marketing and TiDB to verify accuracy. Additionally, set up monitoring and logging to track data loads and quickly identify any issues that arise during the process. Regular audits can help maintain data quality over time.

By following these steps, you can effectively transfer data from Facebook Marketing to TiDB without relying on third-party connectors, ensuring a seamless and controlled data migration process.