For ACENET training workshops, please see Workshops & Seminars.
In the last five years, the Big Data Congress (BDC) has grown to become one of North America’s premiere business-focused conferences around Big Data, attracting participants from around the world, including India, Britain, Europe and China. Global leaders in Big Data from IBM, Cisco, Hitachi and Google have a significant presence in Atlantic Canada for their Big Data programmes.
This business conference on Big Data is aimed at helping business leaders understand and find innovative ways to use Big Data in agriculture, fisheries, energy and beyond.
At this year’s Big Data Congress, ACENET is sponsoring the Technical Track. These two sessions will be technical in nature, oriented to programmer/developers, data scientists, CTOs and CIOs. They may also be of interest to companies seeking to hire data scientists, or to add data analytics capability to their organization.
Session 1: Industrial Internet of Things, November 7th, 10:30am-12:30pm
The Industrial Internet of Things (IIoT) is an exciting and growing area. It may very well grow faster, though be less obvious to mass consumers than the Internet of Things in their homes (for example, smart thermostats and appliances). It will nevertheless have great impact. The IIoT is concerned with monitoring and guiding the operation of production processes. Often in these environments, fast processing and analysis of data is required for performance optimizations in near real time. This real time data processing requires that data be analyzed and acted upon locally, leading to the emergence of edge computing or fogging, where the processing is done either near the edge of the network, or at various levels across the network in the case of fogging.
This session will discuss the components required to monitor, process, analyze, and finally to act based on near real time data being generated from IIoT devices, and how to put these components together to function in a nearly automated way.
Session 2: Visual Analytics, November 7th, 3:00-5:00pm
Detect the expected and discover the unexpected! Visual analytics is an outgrowth of the fields of information visualization and scientific visualization that focuses on analytical reasoning facilitated by interactive visual interfaces (Wikipedia), and is transforming how we view and analyze data.
Join us in this session to learn how to analyze, interact with and gain insight from data through visualization, and if and how visualizing Big Data is different. Using popular visualization tools, Dr. Fernando Paulovich will use examples from his work to demonstrate how the tools have been applied. The discussion will include the uncertainty in data, how to provide context for insights drawn from the visual analysis, and how big data tools are incorporated into the visual analytics process.
Singularity is an application containerization solution for High Performance Computing (HPC), developed by Singularity LLC. The goal of Singularity is to allow for “mobility of computing”, where an application containerized on one Linux system should be able to run on another system as it is, without the need to reconcile software dependencies and Linux version differences between the source and target systems.
This session will provide an overview of the main features and benefits of Singularity, as well as a demonstration of how to run Singularity on Compute Canada systems, how to access filesystems from the container, and how to convert Docker containers to Singularity applications. Some starter documentation on Singularity can be found on the WestGrid website.
This session is targeted at existing Compute Canada users at the intermediate level with some prior experience in using HPC machines. Having a Compute Canada account will allow for hands-on experience during the session. Familiarity with Docker or other container platforms is recommended, as well as a minimal familiarity with software installation on any Linux system (be that a desktop, a server, or cloud instance). Familiarity with Docker or other container platforms is a plus, but not strictly required.