How to load data from DynamoDB to Teradata

Learn how to use Airbyte to synchronize your DynamoDB data into Teradata 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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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 DynamoDB connector in Airbyte

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

Set up Teradata for your extracted DynamoDB 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 DynamoDB to Teradata 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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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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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.

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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.

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What our users say

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Tech Lead at Symend

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Chase Zieman

Chief Data Officer

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Operational Intelligence Manager

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How to Sync to Manually

Step 1: Export Data from DynamoDB to S3

Export your data from DynamoDB to Amazon S3 using the AWS Data Pipeline service. Configure a data export pipeline in AWS Data Pipeline to read from your DynamoDB table and write the data as JSON files to an S3 bucket. Ensure that you have appropriate IAM roles and policies set up to allow access between the services.

Step 2: Prepare the S3 Data for Transfer

Once the data is in S3, you need to ensure it's in a format that's easy to load into Teradata. If necessary, transform the JSON data into CSV format, which is often more compatible with SQL-based systems like Teradata. You can use AWS Lambda or AWS Glue to perform this transformation, writing the reformatted files back to S3.

Step 3: Set Up a Secure Transfer Method

Use a secure protocol like SCP (Secure Copy Protocol) or SFTP (Secure File Transfer Protocol) to transfer the data from S3 to a local machine or intermediary server. This step involves downloading the data files from S3 to your local environment while ensuring the security and integrity of the data during the transfer.

Step 4: Load Data into Teradata Staging Tables

Create staging tables in Teradata that mirror the structure of your original DynamoDB data. This involves defining the appropriate data types and schema in Teradata to accommodate the incoming data. Use the Teradata SQL Assistant or BTEQ (Basic Teradata Query) to load the data from the local machine or intermediary server into these staging tables.

Step 5: Transform Data for Teradata Schema

With the data in staging tables, perform necessary transformations to fit the final schema in Teradata. This could involve data type conversions, normalization, or other SQL-based data transformations. Ensure that the data adheres to any constraints and business rules required by your Teradata environment.

Step 6: Insert Data into Final Teradata Tables

Once the data is transformed and validated in the staging tables, insert it into the final destination tables in Teradata. Use SQL INSERT statements to move the data from staging to production tables, ensuring data consistency and integrity throughout the process.

Step 7: Verify and Clean Up

After the data is fully loaded and integrated into Teradata, perform a thorough verification to ensure that all data has been accurately transferred. Check for discrepancies, missing records, or any data anomalies. Once verified, clean up by removing temporary files from S3 and any staging data that is no longer needed in Teradata to maintain a clean and efficient environment.

By following these steps, you can effectively transfer data from DynamoDB to Teradata without relying on third-party connectors or integrations.