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ON DEMAND WEBINAR: Automated Test Generation – Why Data Teams Need It

ON DEMAND 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.

A Data Prediction for 2025

A Data Prediction for 2025

We’ve read many predictions for 2023 in the data field:  they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc.   Here at DataKitchen, we wanted to take a different approach: look at a three-year horizon. What will the world of...

“You Complete Me,” said Data Lineage to Data Journeys.

“You Complete Me,” said Data Lineage to Data Journeys.

What is data lineage? Data lineage traces data's origin, history, and movement through various processing, storage, and analysis stages. It is used to understand the provenance of data and how it is transformed and to identify potential errors or issues. Data lineage...

Plumbing Wisdom for Data Pipelines

Plumbing Wisdom for Data Pipelines

While you're admiring the latest cloud tech, don't forget that humans have been debugging pipelines, at least since the Romans built the aqueducts.  Any good plumber can give you some hard-won tips on managing data pipelines effectively, insights that might save your...

The Terms and Conditions of a Data Contract are Data Tests

The Terms and Conditions of a Data Contract are Data Tests

The Terms and Conditions of a Data Contract are Automated Production Data Tests A data contract is a formal agreement between two parties that defines the structure and format of data that will be exchanged between them. Data contracts are a new idea for data and...

An AI Chat Bot Wrote This Blog Post …

An AI Chat Bot Wrote This Blog Post …

Query> DataOps ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. DataOps involves collaboration between data engineers, data...

Gartner Market Guide to DataOps Software

Gartner Market Guide to DataOps Software

We are excited that Gartner released its 'Market Guide to DataOps Tools'! The document they wrote is exceptionally close to what we see in the market and what our products do! This document is essential because buyers look to Gartner for advice on what to do and how...

DataOps Observability and Automation to the Rescue!

DataOps Observability and Automation to the Rescue!

Data Team members, have you ever felt overwhelmed? The never-ending flow of new information can be stressful, and it's hard to know where to start. Well, don't worry because DataOps is here to help! In this post, we'll discuss how DataOps Observability and Automation...

DataOps Observability: Taming the Chaos (Part 4)

DataOps Observability: Taming the Chaos (Part 4)

Part 4: Reviewing the Benefits This is the final post in DataKitchen's four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment,...

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.

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