Blog
Why Data Quality Dimensions Fall Flat: Data Quality Coffee With Uncle Chip #2
In this playful yet pointed talk, Uncle Chip kicks things off by poking fun at the overcomplicated world of data quality dimensions that are rooted in an outdated era of static data, keeping teams locked in abstraction and inaction.
Why Data Quality Isn’t Worth The Effort: Data Quality Coffee With Uncle Chip #1
Data quality work is largely invisible. When everything is running smoothly, no one notices the effort behind it. But everyone notices the moment something breaks!
Add DataOps Tests for Error-Free Analytics
How much of your time do you spend writing tests? In a DataOps enterprise, data professionals spend 20% of their time writing tests. This may seem like a lot, but if an organization is wasting time due to errors, every hour spent on tests saves many hours in lost...
Navigating a Recession with DataOps
The Corona COVID-19 virus has completely changed the landscape for business in 2020. Strategic plans that were approved a few short months ago are being scrapped. With a recession at hand, it’s time to hit the reset button on your plans. Business thought leaders were...
Promoting Reuse with Containers and the DataKitchen DataOps Platform
DataOps places great emphasis on productivity. Team velocity can improve significantly when the data organization uses tools and methods that promote component reuse. Architecting analytics as microservices is one way to stimulate code reuse. The challenge is that the...
A Note to Our Customers on Covid-19
On behalf of DataKitchen, we hope that you, your team, and families are staying safe during this difficult time. DataKitchen’s highest priority is the health and safety of our employees, customers, partners, and their families. Over the last few weeks, we have taken...
Where Can I Learn More About DataOps?
For more information on DataOps, checkout: The DataOps Manifesto DataOps Cookbook DataOps Videos DataOps News DataOps Blog DataOps SlideShare
Orchestrating StreamSets with the DataKitchen DataOps Platform
The cacophony of tools and mission-critical deliverables are the reason behind the high complexity of modern-day data organizations. Data groups include a wide range of roles and functions that are intricately woven together by their “Data”. Teams include data...
Do You Need DataOps? Take Our 1-Minute Survey
DataOps is a hot topic these days. It's not surprising given that DataOps holds true potential for enabling enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to slash cycle times...
Gartner: “Select a DataOps Platform for 2020”
In Gartner's recent write up for technical professionals, "2020 Planning Guide for Data Management", they highlight 10 critical trends for 2020. The most exciting one for us at DataKitchen is #10, DataOps. We are most excited that Gartner is advocating the need for...
DataOps is Not Just a DAG for Data
We often hear people say that DataOps is just automating the data pipeline — using orchestration to execute directed acyclic graphs (DAGs). Enterprises may already use orchestration tools (Airflow, Control-M, etc.) and mistakenly conclude that they have DataOps...
DataOps Aphorisms
We speak to a lot of people about the ideas behind DataOps. Sometimes, the shortest phrase captures the idea the best. The dictionary defines an 'Aphorism; as aph·o·rism /ˈafəˌrizəm/ (noun):a pithy observation that contains a general truth. So we collected many of...
Iowa Caucuses, do your DataOps
Everyone has heard by now that there is an issue with counting the ballots in the Iowa Democratic presidential caucuses. It's all over the news. What we just learned is that the reporting system, not the app they created, is the source of the errors. I know we have...
Reducing Organizational Complexity with DataOps
Organizational complexity creates significant problems, but executives in a McKinsey Survey showed little understanding of the types of complexity that create or destroy shareholder value. In their research, McKinsey identified two types of complexity: Institutional...
