GitHub - pawl/awesome-etl: A curated list of awesome ETL frameworks, libraries, and software.
Airflow - "Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues
GitHub - pditommaso/awesome-pipeline: A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
ActionChain - A workflow system for simple linear success/failure workflows. Adage - Small package to describe workflows that are not completely known at definition time. AiiDA - workflow manager with a strong focus on provenance, performance and extensibility. Airflow - Python-based workflow system created by AirBnb. Anduril - Component-based workflow framework for scientific data analysis. Antha
Hazy: Making it Easier to Build and Maintain Big-data Analytics - ACM Queue
January 23, 2013 Volume 11, issue 1 PDF Hazy: Making it Easier to Build and Maintain Big-data Analytics Racing to unleash the full potential of big data with the latest statistical and machine-learning techniques. Arun Kumar, Feng Niu, and Christopher Ré, Department of Computer Sciences, University of Wisconsin-Madison The rise of big data presents both big opportunities and big challenges in doma
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https://qconsf.com/sf2016/system/files/presentation-slides/netflix-cloud_analytics.pdf
