The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. Is it overkill? Paradox of choice? Or the right tool for the right job? We discuss.
The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing
What is the full range of data quality validation tests for data at rest and data in use? Linguistics provides an organizing principle: syntax, semantics, and pragmatics
Data Journey First DataOps
‘Data Journey First DataOps’: it’s a revolution in which every data, tool, server, and step becomes part of a meaningful story, enhancing our data initiatives’ overall value, impact, and trust.
Introducing The Five Pillars Of Data Journeys
The “Five Pillars of Data Journeys” outline a comprehensive approach to tracking and monitoring data across its lifecycle.
Why the Data Journey Manifesto?
Why the Data Journey Manifesto?
So why another manifesto in the world? Really? Why should I care?
UPCOMING WEBINAR: Automated Test Generation – Why Data Teams Need It
This webinar discusses how to make embarrassing data errors a thing of the past.
We will start with how data engineers do not understand their data and have difficulty identifying problematic data records. We will also discuss how the vast majority of data engineers are so busy that they don’t know, or have time to write, tests to write to find data errors. We will finish with a demonstration of DataKitchen’s New DataOps Testgen Product.
That missing piece that connects data system expectations and reality is a ‘Data Journey.’ It is the missing piece of our data systems.
ON-DEMAND WEBINAR: Data Journey – The Missing Piece
Something is missing from our data systems. We cannot judge the expectations vs. reality in our production data systems. What is the variance between what is happening now and what should be happening? Is it on time? Late? Is it trustworthy? What is happening now? Will my customers find a problem?
That missing piece that connects data system expectations and reality is a ‘Data Journey.’ It is the missing piece of our data systems.
Webinar Summary: Data Mesh and Data Products
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 complicated and, in the long run, it kills productivity.
ON-DEMAND WEBINAR: Data Products and Data Mesh
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
