Startups and tech giants across India are actively seeking Python and Java-proficient developers to drive their AI initiatives.

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

Airflow 3 introduces DAG Versioning, remote execution, enhanced security model, and multi-language support to address the evolving needs of AI/ML and data engineering teams worldwide ...

It joined the Apache Software Foundation in March 2016 at the Incubation level and was made a top-level project in 2019. Airflow was initially designed for just ETL use cases, ...

The Airflow project has a concept for data pipelines known as Directed Acyclic Graphs (DAGs) to organize and execute tasks on data. With the new Airflow 2.9 update, open-source technology has ...

Airflow contributors outpace Apache projects Spark and Kafka with 2.8K contributors While the AI market is projected to continue growing, there are some concerns, including fragmented tool stacks, ...