#
DataOps
DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has now matured to become a new and independent approach to data analytics. DataOps applies to the entire data lifecycle from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.
Here are 3 public repositories matching this topic...
🚀 instant jupyter notebook autolaunch with $HOME mount using docker 🐳
-
Updated
May 2, 2024 - Jupyter Notebook
Interactive computing for complex data processing, modeling and analysis in Python 3
-
Updated
May 3, 2024 - Python