Session Outline
In today’s fast-paced data-driven world, empowering decentralized data teams is essential for maintaining governance, quality, and collaboration at scale. This session will demonstrate how we leverage Terraform, Localstack for Snowflake, and DBT to create a scalable DataOps framework that ensures faster insights, enterprise-scale AI-readiness, and high-quality data pipelines.
Key Takeaways
- Putting it all together: Learn how federated teams can leverage Terraform, DBT, Localstack for Snowflake and Git to manage their own data products, promoting a decentralized and scalable architecture built on Data Mesh principles.
- Zero-To-Hero in no time: Discover how DataOps principles, through simple and repeatable patterns, empower teams to quickly produce reliable and actionable data insights.
- Quality in, quality out: See how this decentralized approach provides a scalable foundation for AI and ML initiatives by ensuring high-quality, governable data pipelines.
