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.
cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
pbi-tools
Power BI DevOps & Source Control Tool
grizzly
End-to-end DataOps platform deployed by Terraform.
vulkn
Love your Data. Love the Environment. Love VULKИ.
data-engineering-and-dataops
Duke MIDS: Data Engineering and DataOps Course
sqlmesh
Efficient data transformation and modeling framework that is backwards compatible with dbt.
eesectors
⚠️ Prototype R package for the creation of the DCMS Sectors Economic Estimates statistical release
rivery_cli
Rivery CLI
raptor
Transform your pythonic research to an artifact that engineers can deploy easily.
titan
Snowflake infrastructure-as-code. Provision environments, automate deploys, CI/CD. Manage RBAC, users, roles, and data access. Declarative Python Resource API. Change Management tool for the Snowflake...