Databricks Unveils Lakeflow Designer for Data Analysts to Build Reliable Pipelines Without Coding
7 Articles
7 Articles
Databricks Launches a No-Code Tool for Building Data Pipelines
At its Data+AI Summit today in San Francisco, Databricks launched a number of new features for its data platform, including Lakeflow Designer, a no-code tool for building data pipelines using a drag-and-drop user interface targeted at non-data scientists. Lakeflow Designer is built on top of Lakeflow, the company’s more code-heavy data engineering platform for building these pipelines. Databricks argues that enterprises are under a lot of pressu…


Databricks Unveils Lakeflow Designer for Data Analysts to Build Reliable Pipelines Without Coding
/PRNewswire/ -- Data + AI Summit — Databricks, the Data and AI company, today announced the upcoming Preview of Lakeflow Designer. This new no-code ETL...
Databricks Unveils Lakeflow Designer for Data Analysts to Build Reliable Pipelines Without Coding (Databricks Inc)
) Data + AI Summit, San Francisco, CA - June 11, 2025 - Databricks, the Data and AI company, today announced the upcoming Preview of Lakeflow Designer. This new no-code ETL capability lets non-technical users author production data pipelines using a visual drag-and-drop interface and a natural language GenAI assistant. Lakeflow Designer is backed by Lakeflow, the unified solution for data engineers to build reliable data pipelines faster with al…


Databricks targets AI bottlenecks with Lakeflow Designer
Databricks showcased a new no-code data management tool, powered by a generative AI assistant, at its ongoing Data + AI summit, which is designed to help enterprises eliminate data engineering bottlenecks slowing down AI projects.Called Lakeflow Designer, the tool is designed to empower data analysts build no-code ETL (extract, transform, load) pipelines — a task, typically, left to data engineers who are always busy, thus creating a barrier to …
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