Blog
Critical Data Elements: Your Shortcut to Data Governance That Actually Works
💥 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.
We’ve Been Using FITT Data Architecture For Many Years, And Honestly, We Can Never Go Back
Most data architectures are designed to maximize data vendor revenues, not data team productivity. Let us show you how a Functional, Idempotent, Tested, Two-Stage (FITT) data architecture can deliver better productivity, reliability, and happiness.
A Summary Of Gartner’s Recent Innovation Insight Into Data Observability
On 20 July 2023, Gartner released the article “Innovation Insight: Data Observability Enables Proactive Data Quality” by Melody Chien. In the article, Melody Chien notes that Data Observability is a practice that extends beyond traditional monitoring and detection,...
The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure
The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and...
The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing
The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Customers are asking for new data, people need questions answered, and the tech stack is barely running – data engineers don’t...
Data Journey First DataOps
Data Journey First DataOps Putting Problems in Your Data Estate at the Forefront Welcome to the high-octane world of DataOps, a powerhouse that turbocharges data analytics development and management. This innovative approach merges the agility of Agile...
Introducing The Five Pillars Of Data Journeys
Introducing The Five Pillars Of Data Journeys “There are those who discover they can leave behind destructive reactions and become patient as the earth, unmoved by fires of anger or fear, unshaken as a pillar, unperturbed as a clear and quiet pool.” – Gautama Buddha...
Why the Data Journey Manifesto?
Why the Data Journey Manifesto? So why another manifesto in the world? Really? Why should I care? About seven years ago, we wrote the DataOps Manifesto. We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World...
UPCOMING WEBINAR: Automated Test Generation – Why Data Teams Need It
Webinar Summary: Data Mesh and Data Products
Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes - Data Products and Data Mesh. Bergh started by discussing the complexity within data and analytics teams, stating that complexity makes everything more...
Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms
Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms In the webinar "Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms," James Royster, Vice President of Commercial Operations, Insights, and...
Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team
Introduction. How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. You’ve got a new boss. And she is numbers driven – great! But wait, she asks you for your team metrics. Like most leaders of data...
Only One Problem To Solve for Successful Data and Analytics
The real problem in data analytics is that teams need to deliver insight to their customers without error put new ideas into production rapidly minimize their ‘insight manufacturing’ expenses ... all at the same time As former leaders of data teams, we...
A summary of Gartner’s recent DataOps-driven data engineering best practices article
On 24 January 2023, Gartner released the article “5 Ways to Enhance Your Data Engineering Practices.” By Robert Thanaraj, Ehtisham Zaidi, and 2 more. Gartner suggests in the article that successful Data Engineering teams have two crucial challenges. How to...
