👨‍🔧
The Ops Compendium
  • The Ops Compendium
  • Definitions
    • Ops Definition Comparisons
  • ML & DL Compendium
  • MLOps
    • MLOps Intro
    • MLOps Teams
    • MLOps Literature
    • MLOps Course
    • MLOps Patterns
    • ML Experiment Management
    • ML Model Monitoring & Alerts
    • MLOps Tools
    • MLOps Deployment
    • Feature Stores & Feature Pipelines
    • Model Formats
    • AI As Data
    • MLOps Interview Questions
    • ML Architecture
  • DataOps
    • SQL
    • Tools
    • Databases
    • Database Modeling
    • Data Analytics
    • Data Engineering
    • Data Pipelines
    • Data Strategy
    • Data Vision
    • Data Teams
    • Data Catalogs
    • Data Governance
    • Data Quality
    • Data Observability
    • Data Program Management
    • Data KPIs
    • Data Mesh
    • Data Contract
    • Data Product
    • Data Engineering Questions & Training
    • Data Patterns
    • Data Architecture
    • Data Platforms
    • Data Lineage
  • DevOps
    • DevOps Strategy
    • DevOps Tools
      • Tutorials
      • Continuous Integration
      • Docker
      • Kubernetes
      • Cloud Objects
      • Key Value DB
      • API Gateway
      • Infrastructure As code
      • Logs
      • ELK
      • SLO
    • DevOps Courses
  • DevSecOps
    • Definitions
    • Tools
    • Concepts
  • Architecture
    • Problems
    • Development Concepts
    • System Design
Powered by GitBook
On this page

Was this helpful?

Edit on GitHub
  1. DataOps

Data Catalogs

PreviousData TeamsNextData Governance

Last updated 2 years ago

Was this helpful?

Tools

  1. - "A is a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness of data for intended uses."

Alation
Data Catalog