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Introducing Lakeflow - The Future of Data Engineering on Databricks

Databricks via YouTube

Overview

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Explore Lakeflow, Databricks' comprehensive end-to-end solution designed to simplify and unify complex data engineering workflows in this 37-minute conference talk. Discover what Lakeflow encompasses through a cohesive overview of its three core components: Lakeflow Connect for data ingestion, Lakeflow DLT for data transformation, and Lakeflow Jobs for orchestration. Watch live demonstrations showcasing no-code data ingestion capabilities, code-optional declarative pipelines, and unified end-to-end orchestration that streamline the entire data pipeline process. Learn about the platform's core capabilities in action and understand how these integrated tools reduce complexity while driving productivity for data teams. Gain insights into the future vision and roadmap for Lakeflow, including details about major product announcements that will further enhance data engineering capabilities. Understand how Lakeflow creates a seamless experience for data ingestion, transformation, and orchestration, enabling teams to build scalable, reliable, and efficient data pipelines within a governed and high-performing environment. The session builds upon keynote announcements while providing an accessible introduction for newcomers to the platform, emphasizing the transformative value that Lakeflow delivers to modern data engineering practices.

Syllabus

Introducing Lakeflow: The Future of Data Engineering on Databricks

Taught by

Databricks

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