All the cool kids are talking about Data Products and Data Mesh. The data companies have gotten ahold of terms and started to say their twenty-year-old ETL tools are the perfect tools to do that fashionable product-meshy stuff. What is going on?
ON-DEMAND WEBINAR: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms
James guides us through years of experience working in data, giving insight to many customers and leading highly efficient and effective teams. Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms
ON-DEMAND WEBINAR: Managing Stress in Data Engineering: Data Quality and Testing Techniques for Data Observability
Why do 78% of data engineers wish their job came with a therapist to help manage work-related stress? THEY DO NOT TEST.
On Demand Webinar: Map And Monitor Your Data Journey
Chris Bergh shares how to do a Data Journey in the on-demand webinar!
DataKitchen DataOps Observability Technical Product Overview
Map and Monitor Your Data Journey
Can you draw a map of all the paths data takes from source systems to production insight delivery? How many tools, technologies, configurations, and paths do your data take during its production process? What is the ‘run-time lineage’ of data in your organization?
DataOps Risk Insurance & Mission Control
Chris Bergh shares how to manage data quality and pipeline risk through implementing a ‘Mission Control’ center for DataOps
DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report
“The goal of DataOps is to enable predictable delivery and change management of data and all data-related artifacts such as data pipelines, data models and semantics”
