Hortonworks, IBM and Red Hat today announced they’re banding together to build a consistent hybrid computing architecture for big data workloads. Dubbed the Open Hybrid Architecture Initiative, the program pledges simplicity of deployment and freedom of movement for data apps.
The rapid ascent of cloud computing platforms like AWS, Azure, and Google Cloud has given enterprises abundant new options for storing data and deploying processing-intensive applications, such as deep learning and real-time stream processing. Throw in the progress being made at the edge, with sensors and speedy ARM chips collecting and processing massive amounts of data, and you have the makings of a computing revolution.
While the computing possibilities in the cloud and on the edge may appear bountiful, the reality is that the underlying architectures for building apps that can span these three modes are just starting to come together. Enterprises today face a dearth of repeatable patterns to guide their developers, administrators, and architects, who are tasked with building, deploying and maintaining hybrid that span not just the cloud and the edge, but traditional on-prem data centers too.
That’s the underlying challenge that’s to be faced by the Open Hybrid Architecture Initiative. Launched today in advanced of the Strata Data Conference in New York City, the group outlined plans to integrate their respective technologies in such a way as to provide customers with greater freedom of movement and run-time options for their big data workloads.
Hybrid computing architecture for big data workloads https://goo.gl/GQVXjs
Compliance4all 