Transform Data Pipelines for AI Insights With Teradata, Fivetran, and dbt

Maintaining high data quality and consistency across various sources is crucial but challenging. Data engineers must manage complex workflows, ensure data quality, and scale operations to meet growing demands, including leveraging generative AI. Efficient real-time data integration is essential for timely insights and decision-making, yet it remains a significant challenge—despite robust data workflow technologies.

Teradata’s modern data stack integrations with third-party tools are intended to accelerate the building of data pipelines, increase productivity by freeing data engineers from repetitive work so they can innovate faster to drive profitable growth.

These tools, along with support for open table formats like Iceberg and Delta Lake, empower teams to simplify data extraction and loading into centralized storage solutions to seamlessly integrate and manage data across platforms.

View the live demo of a use case featuring Teradata’s newest modern data stack integration with Fivetran. We’ll show how this integration and others work together to simplify data engineering tasks and deliver a complete pipeline on Teradata Vantage®.

See how to:

• Process and deliver data in real time with Fivetran
• Transform raw data into meaningful insights with dbt
• Ensure data accuracy, consistency, and reliability throughout the pipeline
• Handle increasing data volumes to meet growing demands

Speakers include: 

Debjani Panda

Director of Product Management at Teradata

Debjani specializes in product development and strategy. She has extensive experience in leading product and program management across various industries and regions. Debjani holds an MBA from the University of Texas at Austin and a degree in electrical engineering from the National Institute of Technology in India.

Claire Omiyi

Senior Product Manager at Teradata

Claire is an innovative, data driven, analytical and outcome-oriented product manager. At Teradata she excels in managing TTU and ETL/ELT integrations by driving impactful business outcomes through optimized data workflow. She holds an MEM from Dartmouth College and a degree in Chemical Engineering/Business Management from the University of Manchester.