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.
tis
Support agile DataOps Based on Flink, DataX and Flink-CDC, Chunjun with Web-UI
traceml
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
awesome-data-annotation
A list of tools for annotating data, managing annotations, etc.
frontier
Frontier is an all-in-one user management platform that provides identity, access and billing management to help organizations secure their systems and data. (Open source alternative to Clerk)
stencil
Stencil is a schema registry that provides schema management and validation dynamically, efficiently, and reliably to ensure data compatibility across applications.
lenses-docker
❤for real-time DataOps - where the application and data fabric blends - Lenses
guardian
Guardian is universal data access management tool with automated access workflows and security controls across data stores, analytical systems, and cloud products.
beneath
Beneath is a serverless real-time data platform ⚡️
compass
Compass is an enterprise data catalog that makes it easy to find, understand, and govern data.
tickit-data-lake-demo
Resources for video demonstrations and blog posts related to DataOps on AWS