How to load data from SAP Fieldglass to Teradata

Learn how to use Airbyte to synchronize your SAP Fieldglass data into Teradata 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 SAP Fieldglass 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 SAP Fieldglass 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 SAP Fieldglass 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.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

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

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

Tech Lead at Symend

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

Learn more
Chase Zieman headshot

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.”

Learn more

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."

Learn more

How to Sync to Manually

Step 1: Export Data from SAP Fieldglass

Begin by exporting the required data from SAP Fieldglass. This can typically be done by using Fieldglass's built-in reporting or data export features. Navigate to the appropriate section within Fieldglass, select the dataset needed, and export it in a standard format such as CSV or Excel. Ensure the data export includes all necessary fields required for analysis in Teradata.

Step 2: Prepare Data for Transfer

Once the data is exported, review the file(s) to ensure they are complete and properly formatted. Check for any inconsistencies or errors such as missing values, incorrect data types, or formatting issues. Clean and format the data to match the schema requirements of the Teradata database, paying attention to data types and field lengths.

Step 3: Establish a Secure Data Transfer Method

Determine a secure method to transfer the data files from your local environment to the Teradata server. This can be done using secure protocols such as SCP (Secure Copy Protocol) or SFTP (Secure File Transfer Protocol). Ensure that you have the necessary credentials and permissions to access the Teradata server.

Step 4: Transfer Data to Teradata Server

Use the chosen secure protocol to upload the prepared data files to the Teradata server. This can be done using command-line tools or graphical tools like WinSCP for SFTP. Verify that the files are transferred completely and correctly by checking file sizes and running checksums if necessary.

Step 5: Load Data into Teradata Staging Tables

On the Teradata server, create staging tables that mirror the structure of the data files. Use Teradata's SQL interface or utilities like BTEQ to load the data from the uploaded files into these staging tables. Use the `LOAD` or `INSERT` commands, ensuring that data types and constraints are properly handled during the import process.

Step 6: Transform and Clean Data in Teradata

Once the data is in the staging tables, perform any necessary data transformations using SQL queries. This could include data type conversions, normalization, or joining with existing tables to enrich the data. Ensure that the data is cleaned and validated to meet the business requirements and fit seamlessly into the target tables.

Step 7: Insert Data into Target Teradata Tables

After transforming the data, insert it from the staging tables into the final destination tables within Teradata. Use SQL `INSERT INTO` or `MERGE` commands to move the data to its final location. Validate the data after the transfer to ensure accuracy and integrity, running queries to compare row counts and sample records against the original data from Fieldglass.

By following these steps, you can successfully move data from SAP Fieldglass to Teradata without relying on third-party connectors or integrations.