Hadoop was born into a world begging to better utilize data, says project co-founder Doug Cutting, in this keynote presentation from Apache: Big Data North America 2016.
At the Embedded Linux Conference, Grant Likely -- who is a Linux kernel engineer, and maintainer of the Linux Device Tree subsystem used by many embedded systems -- described his embedded hardware journey in a presentation called “Hardware Design for Linux Engineers” -- or as he put it, “explaining stuff I only learned six months ago.”
Kroah-Hartman presented this talk to Google's Kubernetes development team. Kubernetes is also undergoing rapid growth, and Kroah-Hartman draws on his extensive experience to provide tips on how to manage such a high-velocity project.
The Crate Mesos Framework, developed as an open source project, integrates the data storage layer with Mesos. It is a good fit for stateful services that run on top of Mesos. It avoids operations teams to manually install Crate on their cluster with resources, such as disk space, statically partitioned.
Dhilip Kumar S of Huawei Technologies shares how he built a thin, high-performing Redis framework on Mesos, which delivers Redis's good performance and simplifies running it in a cluster.
A scalable and adaptable machine learning platform is essential for an organization to harness the full potential of their data. This talk outlines how Docker, Spark, Hadoop and several other building blocks can be integrated into a machine learning framework on Mesos.
Much of what you think you know about the subject is probably wrong. It turns out that software -- and computer education curricula -- have not always kept up with new developments in hardware. “Cache behavior is surprisingly complex, and caches behave in subtly different ways across SoCs,” Mark Rutland said in his presentation at the Embedded Linux Conference.