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Analytics at Amazon Speed: The New Normal

Analytics at Amazon Speed: The New Normal

The world changed in February 2005 when Amazon Prime brought flat-rate, unlimited, two-day shipping into a world in which people expected…
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Make Your Own Luck with DataOps

Make Your Own Luck with DataOps

When you do a good job in data analytics, you are rewarded with more work. The way that you cope with this additional work will determine…
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Transitioning from Data Desert to DataOps

Transitioning from Data Desert to DataOps

Every enterprise has valuable data. A data desert forms when a company’s data is underutilized or lays dormant. If your organization is not…
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DataOps Plays Both Offense and Defense

DataOps Plays Both Offense and Defense

There are two kinds of data analytics: data offense and data defense. According to Babson professor Tom Davenport, in a Wall Street Journal…
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Speed Up Innovation with DataOps

Speed Up Innovation with DataOps

Leveraging Data Lakes, Data Warehouses and Schemas for Faster Analytics
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Building a DataOps Team

Building a DataOps Team

Picture what you could accomplish if your organization had accurate and detailed information about products, processes, customers and the…
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Choosing Your First Data-Analytics Project

Choosing Your First Data-Analytics Project

If you are new to data analytics, you may be wondering where to begin.
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“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…
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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…
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Work Without Fear

Work Without Fear

The Seven Steps of Implementing DataOps — Step 7
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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…
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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…
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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…
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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
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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
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Work Apart So You Can Work Together

Work Apart So You Can Work Together

Seven Steps to Implementing DataOps: Step 4 — Use Multiple Environments
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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
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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
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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
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How to Become a Rising Star with Data Analytics

How to Become a Rising Star with Data Analytics

A Guide to DataOps
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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…
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‘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.
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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
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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
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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…
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