Declarative Pipelines: What’s Next for the Apache Spark Ecosystem
Description
DLT has made it dramatically easier to build production-grade pipelines, using a declarative framework that abstracts away orchestration and complexity. It’s become a go-to solution for teams who want reliable, maintainable pipelines without reinventing the wheel. But we’re just getting started. In this session, we’ll take a step back and share how DLT fits into a broader vision for the future of data engineering pipelines — one that opens the door to a new level of openness, standardization and community momentum. We’ll cover the core concepts behind declarative pipelines, where the architecture is headed, and what this shift means for data engineers building procedural code. Don’t miss this session — we’ll be sharing something new that sets the direction for what comes next. Talk By: Michael Armbrust, Distinguished Engineer, Databricks ; Sandy Ryza, Software Engineer, Databricks Here’s more to explore: Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/data-engineering The Big Book of Data Engineering: https://www.databricks.com/resources/ebook/big-book-data-engineering-2nd-edition See all the product announcements from Data + AI S…
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