Overview:

As organizations process ever-larger volumes of unstructured data—from documents and emails to logs and images—the challenges of scalability and security become critical. Choosing the right deployment model can make or break your ability to operate efficiently while meeting strict data governance requirements.

This webinar dives into the full lifecycle of unstructured data ingestion and preprocessing, focusing on how deployment architecture impacts both performance and compliance. We walked through three key deployment models—SaaS, Dedicated Instance, and in-VPC (air-gapped)—to show how each balances security, scalability, and operational responsibility. Whether your priority is hands-off convenience or complete control within your own VPC, you’ll gain practical insights to help you choose the right architecture for your data pipeline.

Technical Details:

In this session, we:

• Understood how ingestion and preprocessing workflows differ across SaaS, Dedicated Instance, and in-VPC environments.
• Explored security boundaries and private link configurations for sensitive data.
• Compared DevOps responsibilities: SaaS (none), Dedicated Instance (low), in-VPC (high).
• Learned the best practices for scaling data pipelines while maintaining compliance in each deployment type.