DataKitchen provides software to observe and automate every data journey in an organization, from source to customer value, in development and production, so that teams can deliver insight to their customers with few errors, data quality, and a high rate of new insight creation.| DataKitchen
Transform data engineering from a high-stress, "hero saves the day" kind of job into something systematic and predictable that actually scales as your team and business grow. Stop babysitting pipelines: SQL & ELT the FITT Way. The post FITT vs. Fragile: SQL & Orchestration Techniques For FITT Data Architectures first appeared on DataKitchen.| DataKitchen
For data engineering teams serious about delivering production-grade data products, implementing systematic test coverage across their Medallion architecture represents not only a technical improvement but a fundamental shift toward sustainable and trustworthy data operations. The post Data Quality Test Coverage In a Medallion Data Architecture first appeared on DataKitchen.| DataKitchen
💥 80% of data governance initiatives fail. Not because of tools. Not because of frameworks. But because the business isn't involved, and no one agrees on what data truly matters. That's where Critical Data Elements (CDEs) change everything. The post Critical Data Elements: Your Shortcut to Data Governance That Actually Works first appeared on DataKitchen.| DataKitchen
Most data architectures are designed to maximize data vendor revenues, not data team productivity. Let us show you how a functional, idempotent, tested and two stage data architecure is the greatest. The post We’ve Been Using FITT Data Architecture For Many Years, And Honestly, We Can Never Go Back first appeared on DataKitchen.| DataKitchen
In an exciting webinar, we talk about the importnace of having test coverage across all your tables and tools The post Webinar: Test Coverage: The Software Development Idea That Supercharges Data Quality & Data Engineering first appeared on DataKitchen.| DataKitchen
Scaling Data Reliability: The Definitive Guide to Test Coverage for Data Engineers| DataKitchen
Your organization's data quality transformation is waiting for someone to take the first step. The open source tools are available, the methodologies are proven, and the need is obvious. . The revolution starts with you. What are you waiting for? The post The Data Quality Revolution Starts with You first appeared on DataKitchen.| DataKitchen
Timing is EVERYTHING. How Latency Issues Spawn Data Quality Problems The post When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares first appeared on DataKitchen.| DataKitchen
In an exciting webinar, we discuss the six major types of Data Quality Dashboards The post Webinar: A Guide to the Six Types of Data Quality Dashboards first appeared on DataKitchen.| DataKitchen
Data quality is not a problem any single role can solve in isolation. The complexity and scale of modern data ecosystems necessitate a collaborative approach, where quality testing serves as a shared infrastructure across all data and analytics roles. The post Data Quality Testing: A Shared Resource for Modern Data Teams first appeared on DataKitchen.| DataKitchen
The $100 Billion Secret: Why Leading Pharma Companies Outsource Their Commercial Data Teams| DataKitchen
Data Quality Circles: The Key to Elevating Data and Analytics Team Performance| DataKitchen
A data quality crisis in data engineering is more than a mere technical hiccup; it often signals deeper systemic issues within the team and organizational p ...| datakitchen.io
