👨‍🔧
The Ops Compendium
search
⌘Ctrlk
👨‍🔧
The Ops Compendium
  • The Ops Compendium
  • Definitions
  • ML & DL Compendiumarrow-up-right
  • 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
    • DevOps Courses
  • DevSecOps
    • Definitions
    • Tools
    • Concepts
  • Architecture
    • Problems
    • Development Concepts
    • System Design
gitbookPowered by GitBook
block-quoteOn this pagechevron-down
githubEdit
  1. DataOps

Data Product

  1. definition phdata.ioarrow-up-right

  2. (good) a framework for data productarrow-up-right - accountability, boundaries, contracts, expectations, consumers, knowledge.

  3. a meta discussion on data platform as a productarrow-up-right

  4. build a data platform as a productarrow-up-right

PreviousData Contractchevron-leftNextData Engineering Questions & Trainingchevron-right

Last updated 2 years ago

Was this helpful?

Was this helpful?