DataOps topic
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.
entropy
Entropy is a framework to safely and predictably create, change, and improve modern cloud applications and infrastructure using familiar languages, tools, and engineering practices.
homebrew-tap
This repository is home to the original homebrew taps for products throughout the Raystack ecosystem.
lenses-go
Lenses.io CLI (command-line interface)
cli
Polyaxon Core Client & CLI to streamline MLOps
squirrel-datasets-core
Squirrel dataset hub
paas-data-ingestion
Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner
dim
📦 dim: Manage the open data in your project like a package manager.
DataOps
DataOps for Government
datachecks
Open Source Data Quality Monitoring.
SmartPipeline
A framework for rapid development of robust data pipelines following a simple design pattern