Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Forrester relates that out of 25,000 reports published by the firm last year, the report...
In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK); and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise...
Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate...
Hub & Spoken podcast host Jason Foster interviews DataKitchen CEO Chris Bergh on how DataOps can help improve technical data teams’ performance with shorter delivery time & continuous feedback.
The Data Stack Show podcast hosts Eric Dodds & Kostas Pardalis interview DataKitchen CEO Chris Bergh on why most data analytics projects fail, three things DataOps focuses on, comparing & contrasting DevOps & DataOps, & fixing problems at the source rather than downstream improvements.
Jonathan Hodges of Workiva and Chuck Smith of GlaxoSmithKline join DataKitchen’s Chris Bergh to discuss their DataOps journey and key lessons learned along the way.
Announcing Open Source DataOps Data Quality TestGen 3.0
DataOps Data Quality TestGen:
Simple, Fast, Generative Data Quality Testing, Execution, and Scoring.
[Open Source, Enterprise]
DataOps Observability:
Monitor every date pipeline, from source to customer value, & find problems fast
[Open Source, Enterprise]
DataOps Automation:
Orchestrate and automate your data toolchain with few errors and a high rate of change.
[Enterprise]
DataOps Consulting, Coaching, and Transformation
Commercial Data & Analytics Platform for Pharma
Data Production Teams
Data Science/AI
Data Engineering
Data Quality
Business Analytics
Data Products
Data Mesh
Data Contracts
ModelOps / MLOps
Data Observability
DataGovOps
Self-Service Operations
Hybrid Cloud Architectures
Cloud Architectures
Kubernetes Architectures
Monitor every Data Journey in an enterprise, from source to customer value, in development and production.
Simple, Fast Data Quality Test Generation and Execution. Your Data Journey starts with verifying that you can trust your data.
Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.