How to load data from Pendo to S3 Glue
Learn how to use Airbyte to synchronize your Pendo data into S3 Glue 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
- Inconsistent and inaccurate data
- Laborious and expensive
- Brittle and inflexible
After Airbyte
- Reliable and accurate
- Extensible and scalable for all your needs
- Deployed and governed your way
Start syncing with Airbyte in 3 easy steps within 10 minutes
Take a virtual tour
Demo video of Airbyte Cloud
Demo video of AI Connector Builder
Setup Complexities simplified!
Simple & Easy to use Interface
Airbyte is built to get out of your way. Our clean, modern interface walks you through setup, so you can go from zero to sync in minutes—without deep technical expertise.
Guided Tour: Assisting you in building connections
Whether you’re setting up your first connection or managing complex syncs, Airbyte’s UI and documentation help you move with confidence. No guesswork. Just clarity.
Airbyte AI Assistant that will act as your sidekick in building your data pipelines in Minutes
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.
An Extensible Open-Source Standard
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
Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend
Chase Zieman
“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.”
Rupak Patel
"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."
How to Sync to Manually
Step 1: Export Data from Pendo
First, log into your Pendo account and navigate to the reports or data section from which you want to export data. Utilize Pendo's built-in functionality to export data in a format such as CSV or JSON. Most platforms offer a way to download data directly, so look for an "export" or "download" button.
Step 2: Store Exported Data Locally
Save the exported file to a local directory on your machine. Ensure you have a systematic naming convention and folder structure to keep track of the files, especially if you plan to perform this task regularly.
Step 3: Set Up AWS Command Line Interface (CLI)
If not already installed, download and install the AWS CLI on your local machine. Configure it with your AWS credentials by running `aws configure`. You will need your Access Key ID, Secret Access Key, Default Region Name, and Default Output Format.
Step 4: Create an S3 Bucket
Log in to your AWS Management Console and navigate to the S3 service. Create a new S3 bucket where you will upload the Pendo data. Make sure to set the appropriate permissions and region settings for your needs.
Step 5: Upload Data to S3
Use the AWS CLI to upload your exported data file to the S3 bucket you created. The command will look something like this:
```
aws s3 cp /path/to/local/file.csv s3://your-bucket-name/
```
Replace `/path/to/local/file.csv` with the path to your local file and `your-bucket-name` with the name of your S3 bucket.
Step 6: Set Up AWS Glue Crawler
In the AWS Management Console, navigate to the AWS Glue service and create a new Crawler. Configure the crawler to use the S3 bucket as the data source. Set the appropriate IAM role, and define the database where the metadata will be stored. Run the crawler to catalog the data.
Step 7: Query Data with AWS Glue or Athena
Once the crawler has successfully cataloged the data, you can use AWS Glue to transform the data or use Amazon Athena to query it. Athena allows you to run SQL queries against the data in S3 directly. Ensure that the AWS Glue Data Catalog is selected as the data source in Athena.
By following these steps, you can manually move data from Pendo to AWS S3 and set it up for processing with AWS Glue, without relying on third-party connectors or integrations.