Podcast:  The Data Engineering Podcast With Tobias Macy

Podcast: The Data Engineering Podcast With Tobias Macy

In this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Chris Berg, CEO of DataKitchen, to discuss his ongoing mission to simplify the lives of data engineers. Chris explains the challenges faced by data engineers, such as constant system failures, the need for rapid changes, and high customer demands. Chris also introduces DataKitchen’s open-source tools, DataOps TestGen and DataOps Observability, designed to automate data quality validation and monitor data journeys in production.

War Rooms Suck

War Rooms Suck

Data analytic team war rooms, often convened for emergency problem-solving, epitomize inefficiency and detract from proactive, value-driven tasks. By leveraging data observability and rigorous testing, issues can be detected and resolved early, negating the need for such reactive measures in the modern era of DataOps.

UPCOMING WEBINAR: Automated Test Generation – Why Data Teams Need It

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.

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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.