5 days ago · 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 …

DataOps This repository contains numerous code samples and artifacts on how to apply DevOps principles to common data engineering patterns and architectures utilizing Microsoft data platform …

DataKitchen - end-to-end DataOps platform automates and coordinates all the people, tools, and environments in your entire data analytics organization – everything from orchestration, testing, and …

A curated list of awesome DataOps tools. Awesome DataOps Data Catalog Data Exploration Data Ingestion Data Processing Data Quality Data Serialization Data Compression Data Table Format …

Example code for doing DataOps. Contribute to microsoft/DataOps development by creating an account on GitHub.

Kontent.ai Data Ops is a powerful CLI tool designed to streamline data management in your Kontent.ai projects. It supports a wide variety of complex operations, including: Environment Backup: Export …

The NetApp DataOps Toolkit is a collection of Python-based client tools that simplify the management of data volumes and data science/engineering workspaces that are backed by high-performance, scale …

3 days ago · 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 …

Abstracts Workshop In this workshop, you will deploy a DataOps reference arquitecture, for understanding best practices of Data Engineering & Software Engineering combined.

DataOps This repository contains numerous code samples and artifacts on how to apply DevOps principles to common data engineering patterns and architectures utilizing Microsoft data platform …