Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...

Intelligent data pipeline startup DataBahn LLC said today it has closed on a $17 million early-stage funding round. The ...

Being open source. For most data engineers, the open source, free version (dbt Core) has everything you need. Coding in dbt. dbt is a framework to run SQL anywhere in your cloud or on-prem data ...

Apache Airflow is a great data pipeline as code, ... How to use the new Python Installation Manager tool for Python 3.14. May 27, 2025 4 mins. Python. video.

Discover the top AI tools and essential skills every data engineer needs in 2025 to optimize data pipelines, enable ...

Go delivers faster execution and better concurrency for large-scale data tasks.Python offers simplicity and rich libraries ...

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

Notably, the new Lakeflow Declarative Pipelines capabilities allow data engineers to build end-to-end production pipelines in SQL or Python without having to manage infrastructure.

This article explores advanced strategies for enhancing big data pipelines through SQL-driven data ingestion combined with Python automation. Rahul M Updated: Wednesday, July 24, 2024, 06:04 PM IST ...

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 with a finished data pipeline ...