
What a gift: on 25th December 2022, Christmas Day for many people, the one millionth DataOps.live pipeline was run by the team at Roche Diagnostics.
Updates from the DataOps team and the DataOps Community
What a gift: on 25th December 2022, Christmas Day for many people, the one millionth DataOps.live pipeline was run by the team at Roche Diagnostics.
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!
Data Mesh is a decentralized architecture that organizes data by specific business domains and teams, leveraging a self-service approach. It’s designed to provide greater ownership and responsibility to Data Product teams and, it is hoped, more effective outputs in a timely manner.
Kent Graziano a.k.a. The Data Warrior Presents New Video Podcast Series
So you’ve decided that DataOps.live is the right solution for your company - now what? Like most organizations, you’ll need buy-in from your executives to begin implementation. But how do you sell the investment value of a technical product to a business-driven leader?
Introduction
A novel approach to solving analytical data challenges, data mesh is rapidly gaining ground—and for good reason.
By now, it is probably a well-known fact among our clients that before developing our DataOps for Snowflake data orchestration platform, we set about to define the principles that we felt were critical to ensuring that we laid the proper foundations for developing a data platform that would change the global enterprise data management solutions.
The challenges posed by the ever-increasing and ever-pervasive nature of data, as well as the increase in prominence of the cloud-based data storage paradigm, are driving the mandate to control access to enterprise data, namely, sensitive, regulated, and Personally Identifiable Information (PII).