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Question: What is the difference between Data Quality and DataOps Observability? | DataKitchen

Question: What is the difference between Data Quality and DataOps Observability? | DataKitchen

Question: What is the difference between Data Quality and Observability in DataOps?
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“Stick Little Thermometers in your Data Journeys” | DataKitchen

“Stick Little Thermometers in your Data Journeys” | DataKitchen

Question: What is something the data industry is missing?
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The Perils of Heroic Data Work: Just Say, “Eww.” | DataKitchen

The Perils of Heroic Data Work: Just Say, “Eww.” | DataKitchen

We’ve all been there. You’re up against a deadline, working tirelessly to get the job done. But what happens when that “job” leaves a…
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DataOps Observability: Taming the Chaos (Part 1) | DataKitchen

DataOps Observability: Taming the Chaos (Part 1) | DataKitchen

This is the first post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility…
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Fire Your Super-Smart Data Consultants with DataOps

Fire Your Super-Smart Data Consultants with DataOps

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. The strategic value of analytics is widely…
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DataOps For Business Analytics Teams

DataOps For Business Analytics Teams

Business analysts often find themselves in a no-win situation with constraints imposed from all sides. Their business unit colleagues ask…
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Eight Top DataOps Trends for 2022

Eight Top DataOps Trends for 2022

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in…
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10 DataOps Principles for Overcoming Data Engineer Burnout

10 DataOps Principles for Overcoming Data Engineer Burnout

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big…
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What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

This article was originally published in Forbes.
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What is a DataOps Engineer?

What is a DataOps Engineer?

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. Data operations (or data production) is a…
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DataOps is the Factory that Supports Your Data Mesh

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…
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How DataOps is Transforming Commercial Pharma Analytics

How DataOps is Transforming Commercial Pharma Analytics

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations…
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Implementing a Pharma Data Mesh using DataOps

Implementing a Pharma Data Mesh using DataOps

Below is our fourth post (4 of 5) on combining data mesh DataOps to foster innovation while addressing the challenges of a decentralized…
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Accelerating Drug Discovery and Development with DataOps

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…
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Addressing Data Mesh Technical Challenges with DataOps

Addressing Data Mesh Technical Challenges with DataOps

Below is our third post (3 of 5) on combining data mesh DataOps to foster greater innovation while addressing the challenges of a…
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Use DataOps With Your Data Mesh to Prevent Data Mush

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 we will review some of the ideas behind data…
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What is a Data Mesh?

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…
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Data Observability and Monitoring with DataOps

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…
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DataOps Enables Your Data Fabric

DataOps Enables Your Data Fabric

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from…
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The DataOps Vendor Landscape, 2021

The DataOps Vendor Landscape, 2021

Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their…
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Pitching a DataOps Project That Matters

Pitching a DataOps Project That Matters

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle…
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Do You Need a DataOps Dojo?

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…
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The Business Case for DataOps

The Business Case for DataOps

by James Royster
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DataOps Facilitate Remote Work

DataOps Facilitate Remote Work

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a…
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Improve Business Agility by Hiring a DataOps Engineer

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…
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