Blog
DataKitchen Is One Of The Coolest DataOps & Data Observability Companies of 2025
We’re thrilled to share that DataKitchen has once again been named one of the Coolest DataOps & Data Observability Companies for 2025 by CRN!
The Data Quality Coffee Series With Uncle Chip
Pull up a chair, pour yourself a fresh cup, and get ready to talk shop—because it’s time for Data Quality Coffee Series with Uncle Chip.
DataOps is the Factory that Supports Your Data Mesh
Below is our final post (5 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a data mesh decentralized architecture. We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in...
Implementing a Pharma Data Mesh using DataOps
Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a...
A Day in the Life of a DataOps Engineer
Accelerating Drug Discovery and Development with DataOps
A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. Figure 1 shows the 15-year cycle from screening to government agency approval and phase IV trials. Drug...
Addressing Data Mesh Technical Challenges with DataOps
Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “What is a Data Mesh?”) and how...
Use DataOps With Your Data Mesh to Prevent Data Mush
In our last post, we summarized the thinking behind the data mesh design pattern. In this post (2 of 5), we will review some of the ideas behind data mesh, take a functional look at data mesh and discuss some of the challenges of decentralized enterprise architectures...
What is a Data Mesh?
The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. With an architecture comprised of numerous domains, enterprises need to manage order-of-operations issues, inter-domain...
Using DataOps to Drive Agility & Business Value
In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca Ryan Chapin, Former...
DataOps: The New Normal in Pharma
What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?
Data Observability and Monitoring with DataOps
Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal...
Forrester – Chart Your Course To Insights-Driven Business Maturity
As organizations strive to become more data-driven, Forrester recommends five actions to take to move from one stage of insights-driven business maturity to another. After establishing a solid strategy, the second phase involves planning key processes and practices...
