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 ...

Struggling to integrate your Python enrichment services effectively into Scala data processing pipelines? Roi Yarden, Senior Software Engineer at ZipRecruiter, shares how we sewed it all together ...

Astronomer’s commercial version of Airflow, Astro, enables companies to run the data pipeline platform in the cloud. It provides high-availability features designed to reduce the risk of outages.

From Ingestion to Delivery, Snowflake’s potential to scale businesses with ease is a win-win 💬 Snowflake gives data analysts the feature to work on the observability and the DevOps track. Thanks to ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire ...

This updated version of the respected beginner's guide to Python gives newcomers a whirlwind tour of Python 3.9—from object-oriented programming basics to examples involving data analysis, web ...

“Python Data Science Handbook: Essential Tools for Working with Data” by Jake VanderPlas “Learning Data Mining with Python” by Robert Layton; Grading. Grades will be assigned according to the ...

Programming languages: Basic to intermediate experience with Python, Jupyter Notebook; Math: Basic experience with Probability and Statistics, Linear Algebra; Technical requirements: Windows or Mac, ...