Sign in / Sign up
“Forward-thinking companies are begging to adopt … DataOps“

“Forward-thinking companies are begging to adopt … DataOps“

Another day, another five stories on DataOps. Three from publications: CIODIVE, ComputerWeekly, and Datanami, and two from company blogs by…
Go to the profile of datakitchen.io
datakitchen.io
Four Great DataOps Articles

Four Great DataOps Articles

It’s been a busy week for DataOps in the news. We’ve seen four great articles published about DataOps this week. BlueHill Research, the…
Go to the profile of datakitchen.io
datakitchen.io
Work Without Fear

Work Without Fear

The Seven Steps of Implementing DataOps — Step 7
Go to the profile of DataKitchen
DataKitchen
Throw Your Data in a Lake

Throw Your Data in a Lake

Many enterprises organize data in disparate silos, making it much more challenging to ask questions that require data to be combined and…
Go to the profile of DataKitchen
DataKitchen
DataOps Engineer Will Be the Sexiest Job in Analytics

DataOps Engineer Will Be the Sexiest Job in Analytics

Years ago, prior to the advent of Agile Development, a friend of mine worked as a release engineer. His job was to ensure a seamless build…
Go to the profile of DataKitchen
DataKitchen
The DataOps Ecosystem Emerges

The DataOps Ecosystem Emerges

In 2015, Andy Palmer of Tamr defined the term DataOps, a faster, more flexible approach to data analytics which recognizes the…
Go to the profile of DataKitchen
DataKitchen
Making Data Analytics Responsive to the Organization’s Needs

Making Data Analytics Responsive to the Organization’s Needs

Seven Steps to Implementing DataOps: Step 6 — Parameterize Your Processing
Go to the profile of DataKitchen
DataKitchen
How to Inspire Code Reuse in Data Analytics

How to Inspire Code Reuse in Data Analytics

Seven Steps to Implementing DataOps: Step 5 — Reuse & Containerize
Go to the profile of DataKitchen
DataKitchen
Work Apart So You Can Work Together

Work Apart So You Can Work Together

Seven Steps to Implementing DataOps: Step 4 — Use Multiple Environments
Go to the profile of DataKitchen
DataKitchen
How to Enable Your Data Analytics Team to Work in Parallel

How to Enable Your Data Analytics Team to Work in Parallel

Seven Steps to Implementing DataOps: Step 3 — Branch and Merge
Go to the profile of DataKitchen
DataKitchen
The Best Way to Manage Your Data Analytics Source Files

The Best Way to Manage Your Data Analytics Source Files

Seven Steps to Implementing DataOps: Step 2 — Use a Version Control System
Go to the profile of DataKitchen
DataKitchen
How Data Analytics Professionals Can Sleep Better

How Data Analytics Professionals Can Sleep Better

Seven Steps to Implementing DataOps: Step 1 — Add Data and Logic Tests
Go to the profile of DataKitchen
DataKitchen
How to Become a Rising Star with Data Analytics

How to Become a Rising Star with Data Analytics

A Guide to DataOps
Go to the profile of DataKitchen
DataKitchen
Lean Manufacturing Secrets that You Can Apply to Data Analytics

Lean Manufacturing Secrets that You Can Apply to Data Analytics

What could data analytics professionals possibly learn from car manufacturers? It turns out, a lot. Automotive giant Toyota pioneered a set…
Go to the profile of DataKitchen
DataKitchen
‘DAG’, what’s a ‘DAG’?? why is it cool?

‘DAG’, what’s a ‘DAG’?? why is it cool?

Today in my favorite nerd publication, Hacker News, there was a thread about tools to run a Directed Acyclic Graph (DAG) on data.
Go to the profile of DataKitchen
DataKitchen
How Software Teams Accelerated Average Release Frequency from Three Weeks to Three Minutes

How Software Teams Accelerated Average Release Frequency from Three...

A Quick Guide to DevOps for Non-Engineers
Go to the profile of DataKitchen
DataKitchen
How Software Teams Accelerated Average Release Frequency from 12 Months to Three Weeks

How Software Teams Accelerated Average Release Frequency from 12 Mo...

A Quick Guide to Agile Development for Non-Engineers
Go to the profile of DataKitchen
DataKitchen
Three Behaviors that Will Shorten Your Career in Data Analytics

Three Behaviors that Will Shorten Your Career in Data Analytics

Analytics promises to provide organizations with critical data that drives better decision making, yet the landscape is littered with…
Go to the profile of DataKitchen
DataKitchen
“putting together an assembly line of technologies, people and processes”

“putting together an assembly line of technologies, people and proc...

We couldn’t agree more with the following from investor Matt Turk:
Go to the profile of datakitchen.io
datakitchen.io
DevOps applied to BI is #DataOps

DevOps applied to BI is #DataOps

Tom Breur’s article “What does DevOps mean for BI?” does an excellent job describing how DevOps breaks down barriers between development…
Go to the profile of DataKitchen
DataKitchen
Data Analytics Can Learn from Manufacturing’s Deming

Data Analytics Can Learn from Manufacturing’s Deming

Like manufacturing, data-analytics is a pipeline process. Data enters on one side, progresses through a series of steps and exits in the…
Go to the profile of datakitchen.io
datakitchen.io
The Data Lake Is A Design Pattern

The Data Lake Is A Design Pattern

By Gil Benghiat
Go to the profile of datakitchen.io
datakitchen.io
Why Do I Need a Star Schema?

Why Do I Need a Star Schema?

By Gil Benghiat
Go to the profile of datakitchen.io
datakitchen.io
DataOps Article

DataOps Article

DataOps in the Press! Great article with a discussion on how analytic teams can both support easy ad hoc analysis as well as fast, safe…
Go to the profile of datakitchen.io
datakitchen.io
Harvard Business Review Article … Why IT Fails at Analytics

Harvard Business Review Article … Why IT Fails at Analytics

“In their quest to extract insights from the massive amounts of data now available from internal and external sources, many companies are…
Go to the profile of datakitchen.io
datakitchen.io
About data-opsLatest StoriesArchiveAbout MediumTermsPrivacy