DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps
Data (and Analytic) Observability & Data Journey – Ideas and Background
- Data Journey Manifesto and Why the Data Journey Manifesto?
- Five Pillars of Data Journeys
- Data Journey First DataOps
- “You Complete Me,” said Data Lineage to Data Journeys.
- Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability
- The Need For Personalized Data Journeys for Your Data Consumers
- Data Teams and Their Types of Data Journeys
- Webinar: Data Journey: The Missing Piece.
- Webinar: Beyond Data Observability: Personalization
- Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software
DataKitchen DataOps Observability
- Problem Statement White Paper: ‘Taming Chaos’
- Technical Product Overview
- Four-minute online demo
- Detailed Product: Documentation
- Webinar: Data Observability Demo Day
DataKitchen DataOps TestGen
- Problem Statement White Paper: ‘Mystery Box Full Of Data Errors’
- Technical Product Overview
- Navigating the Chaos of Unruly Data: Solutions for Data Teams
- The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing
- Detailed Product: Documentation
- Webinar: Automated Data Validation Test Generation
‘Bestsellers’ on DataOps
- DataOps Cookbook (over 30,000 readers, updated for 2023):
- DataOps Certification (over 3,000 students, updated for 2023):
- DataOps Manifesto (over 30,000 signatures)
Analysts On DataKitchen, DataOps, and Data Observability
- A summary of Gartner’s recent DataOps-driven data engineering best practices article
- Gartner Market Guide to DataOps Software
- A Summary Of Gartner’s Recent Innovation Insight Into Data Observability
- DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report
- Ventana Market Guides to Data Observability, DataOps, and Data Orchestration
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