How to Scale Data Integration
to and from Google BigQuery
Get practical advice from leading data integration executives on how to deliver data at speed and scale to power analytical and operational use cases.
What you’ll learn:
Join Jobin George, Data & Analytics Solutions Architect at Google, and Avinash Shahdadpuri, Co-founder and CTO at Nexla, to learn how to scale data integration pipelines in and out of Google BiqQuery.
Jobin and Avinash will cover real-world scenarios with BigQuery and show you how you can seamlessly scale data pipelines for every use case from GenAI to Business Intelligence and Operational Systems with Nexla and Google BigQuery.
Use cases will include:
- Creating intelligent data flows to and from Google BigQuery from anywhere in minutes, easily and reliably
- Best practices for operational data integration pipelines that run your business and applications with trillions of records
- Considerations for optimizing ETL/ELT pipelines for analytics use cases for enhanced business intelligence and dashboards
- New and emerging use cases like transformations to vector embeddings for GenAI and rapid experimentation with various LLMs
Don’t miss this opportunity to hear how companies like DoorDash, Johnson & Johnson, and LinkedIn are scaling data integration pipelines and how they are able to support a variety of use cases from data flows for operational systems and applications,to analytics, business intelligence, and reporting, to rapid experimentation to roll GenAI use cases into production at scale.
Jobin George is a Staff Technical Architect at Google, transforming the way Google’s key customers and partners work with data. His expertise in large-scale Data & Analytics solutions fuels his thought leadership and innovative technical guidance. He’s known for his strategic & collaborative approach, working closely with Google’s key customers and partners to understand their unique challenges and architect solutions that drive success.
Avinash, co-founder and CTO of Nexla, leads global engineering and drives innovations in data engineering automation. He ventured into entrepreneurship in 2010 with Mobsmith, following significant experience in financial services developing real-time trading and risk management systems.