DataOps
Where Does Your Data Go?
One of the most interesting developments in security and compliance in recent years is the ability to follow a piece of data through an application from input to consumption and see each ...
SaaS Data Backup and the API Bottleneck
The need to protect SaaS data has never been greater. A recent global survey from Odaseva found that 51% of ransomware attacks are targeting SaaS data, and they are more likely to ...
When the Cloud and the Edge Are the Same Thing
Edge computing remains a growing and exciting new architecture for enterprises across multiple industries. Distributing computing power across a decentralized network gives new opportunities for AI- and IoT-based applications. Demand is such ...
Cisco Unveils 800G Networking Platform to Advance DataOps
At the Open Compute Project (OCP) Global Summit conference, Cisco announced it developed an 800-gigabit switch that consumes significantly less power than the previous generation of its networking equipment. Thomas Scheibe, vice ...
5 Ways to Transform DataOps With Human-in-the-Loop Automation
We are in the middle of a data renaissance. Today, it’s not just about data instrumentation but also learning how to make DataOps a real business advantage for the entire organization. Data ...
Where DataOps and Opportunities Converge
In today’s data age, getting data analytics right is more essential than ever. A robust data analytics implementation enables businesses to hit key performance metrics, build data and AI-driven customer experiences (think ...
DataOps Vs. DevOps: What’s the Difference?
There is a mindboggling amount of data today; to even measure it requires using a byte measurement called a zettabyte, which is one sextillion bytes (that’s 21 zeros). Currently, because such a ...
Open Source Vs. Proprietary DataOps
Core DataOps concepts are making their way into data engineering teams and, from there, into the broader enterprise. Data engineers are retooling how they create data products, and much of this work ...
DevOps’ Data Storage Problem
The technology sector has always been about problem-solving. When the value of big data was finally embraced, thanks to new analysis capabilities developed in the late nineties and early aughts, the industry ...
Consider DataOps for a Competitive Edge
DataOps seeks to eliminate existing barriers between people, technology, tools and data It’s no secret that COVID-19 has put the economy under enormous strain and future economic prospects are uncertain. A smart ...
The Taxonomy of DataOps
Yes
Chris Tozzi | | data analysis, data management, data monitoring, data operations, DataOps, taxonomy of DataOpsData Operations, or DataOps for short, is one of those IT buzzwords that lots of people use, yet few can define precisely. Like the cloud or DevOps, DataOps doesn’t make sense until ...
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 and bring ...