Blog
Webinar: Data Quality in a Medallion Architecture – 2024
Would you like help maintaining high-quality data across every layer of your Medallion Architecture?
A Guide to the Six Types of Data Quality Dashboards
Not all data quality dashboards are created equal. Their design and focus vary significantly depending on an organization’s unique goals, challenges, and data landscape. This blog delves into the six distinct types of data quality dashboards, examining how each fulfills a specific role in improving Data Quality.
Managing Data Analytics Is More Like Running A Restaurant Than You Think
Gartner – Top Trends in Data & Analytics for 2021: XOps
Gartner identified XOps (DataOps, ModelOps, DevOps) as one of the top trends in data and analytics for 2021. Below we provide additional suggestions for further reading based on Gartner’s recommendations. What is XOps? Gartner: “The multiplication of Ops disciplines...
How DataOps Kitchens Enable Version Control
This blog builds on earlier posts that defined Kitchens and showed how they map to technical environments. We’ve also discussed how toolchains are segmented to support multiple kitchens. DataOps automates the source code integration, release, and deployment workflows...
Pitching a DataOps Project That Matters
Every DataOps initiative starts with a pilot project. How do you choose a project that matters to people? DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. DataOps reduces errors,...
DataOps Reports that Keep Your Finger on the Pulse
It’s never good when your boss calls at 5 pm on a Friday. “The weekly analytics didn’t build correctly. What happened? Call me every hour with updates until you figure it out!” For many data professionals, this situation is all too familiar. Analytics, in the modern...
Do You Need a DataOps Dojo?
As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics brings it under control but granting analysts free reign is necessary to foster innovation and...
The Business Case for DataOps
Savvy executives maximize the value of every budgeted dollar. Decisions to invest in new tools and methods must be backed up with a strong business case. As data professionals, we know the value and impact of DataOps: streamlining analytics workflows, reducing errors,...
DataOps Facilitates Remote Work
Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer. Execution of this mission requires the contribution of...
Gartner: Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment
In Gartner’s recent report, Operational AI Requires Data Engineering, DataOps, and Data-AI Role Alignment, Robert Thanaraj and Erick Brethenoux recognize that “organizations are not familiar with the processes needed to scale and promote artificial intelligence models...
DataKitchen’s 2020 Honors & Awards
While 2020 has been a collectively difficult year, we want to take a moment to thank all of our employees for the hard work they put into continually developing our DataKitchen DataOps Platform for our customers. We also want to thank all of the data industry groups...
DataKitchen’s Best of 2020 DataOps Resources
We understand that many folks would like to say goodbye and good riddance to 2020. But before we shut the door on such a turbulent, transformative year, we at DataKitchen would like to share the creme de la creme of our DataOps content in hopes that it can help you as...
Improve Business Agility by Hiring a DataOps Engineer
It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change. - Leon C. Megginson on Charles Darwin “Origin of Species” Adapt or face decline. The agile alliance defines “business agility”...
