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 ...

As it turns out, even though building connectors and data pipelines may now ... and ETL in either SQL or Python. Ghodsi stressed that LakeFlow Pipelines offers a low-latency mode for enabling ...

Dustin, Cameron, and I spent more than a few moments dis­cussing the rising popularity of dbt (Data Build Tool ... popular templating lan­guage used in the Python stack. As you change and evolve your ...

The project’s strongest asset is its flexibility, as it allows Python developers to create ... With version 2.8, data pipeline connections to object stores become much simpler to build thanks to the ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

Companies can use LakeFlow to build data pipelines, software workflows that ... the code that performs those modifications in SQL or Python. The feature is powered by Delta Live Tables, Databricks ...

When its custom data pipelines began to fail at scale, one team pragmatically chose a single tool to create momentum, valuing ...

With Pulsar Functions, you can apply Python functions ... for machine learning pipelines that require immediate and real-time predictions and results. Our goal is to build a real-time inference ...