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.

Organization
Website
Wikipedia: 维基百科

相关主题

open-data

console

@redpanda-data

Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing...

apache-kafka dataops react typescript kafka-ui kafka-gui web-ui go

TypeScript3.83 k

1 天前

whylogs

@whylabs

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collect...

ai-pipelines approximate-statistics statistical-properties data-quality calculate-statistics python logging mlops dataops ml-pipelines

Jupyter Notebook2.65 k

8 天前