DataOps News

Updates from the DataOps team and the DataOps Community

Empowering data engineers to develop more, faster, better

Empowering data engineers to develop more, faster, better

CloudOps & DataOps Engineer Luke Crumley describes the lightbulb moment when he fully grasped the potential of DataOps to deliver new levels of speed, innovation and quality for business teams.   Data engineering is about solving problems: helping organizations to make decisions based on facts rather than guesswork. As a result, businesses need increasingly powerful tools to help them to gather, sort, manage, manipulate and present insights to support those decisions – solutions like DataOps.live.  

How DataOps.live Enriches a Data Vault Implementation

How DataOps.live Enriches a Data Vault Implementation

The toolset around implementing a Data Vault continues to grow. Once a decision has been made to implement Data Vault, there are still further choices to be made to make the Data Vault implementation successful. Using the DataOps.live Data Platform can make these choices simpler to implement. Our Data Platform can abstract the various tools such that the only thing needed in our platform is configuration information showing the tools what to do. The Automation of Snowflake is built into our platform. Running a pipeline will produce the proper environment around the Data Vault that it needs.  

Increasing Productivity, Empowering Developers: Dynamically Scale Data Product Development Using DataOps.live and Kubernetes

Increasing Productivity, Empowering Developers: Dynamically Scale Data Product Development Using DataOps.live and Kubernetes

When you run a pipeline, you need a runner: a piece of code that does the job on your behalf. Someone has to set this up. It’s not very hard, of course but the problem is that you only have access to the resources of one machine where the runner runs. This brings limitations, including the size and cost of machine available to rent. It’s far from easy to scale up and down in a flexible way and the big ‘monster machines’ can get very expensive very quickly. 

DataOps.Live's Thoughts on Gartner’s Market Guide for DataOps Tools

DataOps.Live's Thoughts on Gartner’s Market Guide for DataOps Tools

This just in from the folks at Gartner: DataOps is a market!  Wait, haven’t we known this all along?  Didn't we name our company DataOps?  Read on, and I’ll share my takeaways from this key milestone in one analyst firm’s coverage of the DataOps space.   

And if you're in Orlando for the 2023 Gartner Data & Analytics Summit, happening March 20-22nd, swing by Booth #1528 to learn firsthand (I'll be there!) how you can build, test + deploy data products and applications on Snowflake!