90% of respondents in new 451 Research report say they will significantly increase investment in DataOps technologies this year REDWOOD CITY, Calif. [February 4, 2019]: Leading research and advisory firm […]
Trifacta Extends Data Preparation to DataOps with New Functionality for Data Engineers
New features including RapidTarget and Automator allow data engineers to more efficiently operationalize data preparation workflows in production SAN FRANCISCO, 14th of November 2018 — Trifacta, the global leader in […]
DataOps: DevOps Plus Big Data
In traditional DevOps, there are the complimentary forms of development operations (that I call DEVops), and development operations (that I like to call devOPS). Between them they automate the toolchain […]
Delphix and Datical Extend Global Partnership, Bring New DataOps Solutions to Modern Enterprises
One-half of all Fortune 50 companies work with Delphix, Datical to deliver high quality software – faster and more securely – to close Data Velocity Gap REDWOOD CITY, Calif., October […]
DevOptimism: The Future of DevOps is Becoming Clearer
DevOps has quickly matured from a fairy tale to a bestseller at most large enterprises. However, we are still at the beginning of the DevOps story, with many exciting chapters […]
DevOps & DataOps: Catalysts for Organizational Transformation
Over the past few decades, use of the internet has increased exponentially. Nowadays, the need to build quality web applications and managing its huge data effectively is a huge concern […]
Everything Ops: Are DevOps Principles Being Applied Too Broadly?
From big data to storage to security, the DevOps concept is being applied to every field of IT operations under the sun today. This “Everything Ops” movement reflects the popularity […]
Are We Leaving Developers Out of DevOps Spinoffs?
SecOps. DataOps. NetOps. Reading these terms, you get the sense that the key to IT efficiency is to make IT Ops work with everyone else. But that’s a mistake, because […]
DataOps: Time to Bring DevOps Ideas to Big Data
What can data scientists learn from DevOps? A lot, actually. By applying DevOps principles to the world of big data, you get DataOps, which streamlines data analytics. If you’re reading […]
- « Previous Page
- 1
- …
- 8
- 9
- 10
