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 ...

According to Databricks, the new service will enable data engineers and analysts to easily create batch and real-time streaming pipelines using SQL and Python ... will streamline the process of taking ...

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 ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

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 ...