Pipeline development cycles are shortened from months to weeks or days. SQL’s widespread adoption lets data users self-serve pipelines for fresh analytics. No Java, Python, Spark or Airflow ...

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

using SQL, Python, or Scala. When the user is finished with her pipeline, she names the output file, specifies whether the pipeline is read-only or can overwrite itself, and presto – she’s presented ...

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 ...

Learn More Data engineering startup Prophecy is giving a new turn to data pipeline creation. Known for its low-code SQL tooling, the California-based company today announced data copilot ...

Just as open-source development revolutionized SQL, it also rejuvenated programming languages that work with data. Languages like Python and R, though dating back to the 1990s, are relatively new ...