Microsoft Azure for Research Webinars

Join us for our Microsoft Azure for Research webinar series. These one-hour, interactive online sessions help you understand the value and capabiltities of cloud computing and how you can use it for your research in practical ways. We look forward to answering y our questions during the live sessions.

After the live sessions have aired, the webinars are available on demand.

On-demand webinars
Medical Imaging using Microsoft Azure and CodaLab – Webinar
Medical Imaging using Microsoft Azure and CodaLab – Webinar
00:54:48

Cloud computing provides researchers with the ability to develop and deploy easy-to-use services that are accessible and scale out effectively. In this webinar we will cover :

  • What are the challenges for medical image analysis that cloud computing can help tackle?
  • How Microsoft Azure is being used by researchers for their medical imaging work;
  • How to collaborate with researchers worldwide by sharing and interacting with code, data, and experiments, and to participate in online competitions using CodaLab. http://codalab.org
  • How can Microsoft Azure help your research, and what to do next.

Find out more on the Microsoft Azure for Research website, including our Microsoft Azure awards, free training courses around the world, technical reports and case studies. www.azure4research.com

Accelerating Urban Informatics with Microsoft Azure – Webinar
Accelerating Urban Informatics with Microsoft Azure – Webinar
00:58:28

The world is becoming more urbanized. The movement of populations from rural to city life is nothing new in the developed countries of Europe and North America, but it has greatly accelerated in the rapidly developing countries of Asia. Rapid urbanization poses challenges, as growing cities strive to deliver services, maintain a safe and healthful environment, and promote a vibrant economy. Meeting these challenges effectively requires actions based on the collection, analysis, and modeling of reliable data—a need that has given rise to the field of urban informatics. Think of it as the big data of big cities. Crunching big data is one of the strengths of cloud computing, and Microsoft Azure, the cloud-computing platform from Microsoft, offers tremendous potential in urban informatics.

Areas covered in the session:

  • Overview of “Accelerating Urban Informatics with Microsoft Azure” research theme
  • Advances of urban computing in Microsoft Research Asia
  • Crowdsourcing-based urban noise mapping with smartphones

Discover the resources available to help you take advantage of cloud computing for your research, including Microsoft Azure awards, free training courses around the world, technical reports, and case studies at www.azure4research.com.

Scale out Computing by Using R, Matlab, and Python with Microsoft Azure – Webinar
Scale out Computing by Using R, Matlab, and Python with Microsoft Azure – Webinar
00:54:42

Learn how easy it is to move beyond your desktop using the cloud. Microsoft Azure provides a highly scalable and flexible cloud infrastructure for big data computations.

Areas covered in the session:

  • How cloud computing enables you to run data-intensive computations, and at scale
  • Easily running parameter sweep/map reduce compute jobs for your scientific analysis
  • Developing, deploying, and running scaled out R, Matlab, and Python applications on Microsoft Azure

Discover the resources available to help you take advantage of cloud computing for your research, including Microsoft Azure awards, free training courses around the world, online training, and technical papers at www.azure4research.com.

Excel for Research—Power BI and the Cloud – Webinar
Excel for Research—Power BI and the Cloud – Webinar
00:55:42

Microsoft Excel is one of the most widely used tools by researchers to manage, analyse, and visualize their data. Learn about new data discovery and analysis features in Excel with the collaboration capabilities in the new Power BI for Office 365 online service, and how it can be used with Microsoft Azure.

Areas covered in the session:

  • How to use Excel Power BI for science and research
  • Using Excel Power Query to browse, refine and analyses research data
  • How to use Excel as a gateway to Microsoft Azure
  • Designing research data analysis services using PowerView
  • Visualizing 4D data in Excel using PowerMap
Environmental Science on the Cloud with Microsoft Azure – Webinar
Environmental Science on the Cloud with Microsoft Azure – Webinar
00:59:25

Scientific instruments, environmental sensors, and large-scale simulations are creating more scientific data than ever before. By using advanced, large-scale information processing facilities, scientists are now able to analyze massive volumes of data in ways that never would have been possible just a few years ago. While a few researchers have access to these large computer systems, most are limited by the processing capacity they can access conveniently and quickly. Cloud computing solutions utilizing Microsoft Azure allow environmental science researchers to access the compute and storage resources that they need, when they need them—without the up-front financial investment required—and helps reduce the time between progress and breakthroughs. Microsoft Azure brings on-demand computing and data access to environmental scientists and researchers everywhere.

Areas covered in the session:

  • How to move beyond the desktop with cloud computing
  • Microsoft Azure for MODIS data processing and visualization with FetchClimate
  • Scaling out Matlab computations in the cloud
  • Realizing an environmental data, modeling and decision support pipeline in Microsoft Azure
  • How Microsoft Azure can help your environmental science research, and what to do next
Virtual Machines for Research on Microsoft Azure - Webinar
Virtual Machines for Research on Microsoft Azure - Webinar
01:02:39

Virtual machines (VMs) provide an easy way to move and run your applications and services in the cloud. Microsoft Azure supports both Linux and Windows virtual machines in a portable and scalable way. The Gallery allows users to quickly choose and deploy a wide variety of pre-configured VMs. At the VMDepot the community can upload and share Linux VMs from scientific applications--from Biolinux, iPython and Data Science, to web content management systems such as Drupal and CKAN. Once deployed, VMs allow scaling out of applications across tens or hundreds of nodes. Through programmatic control of VMs through the Microsoft Azure SDKs in Python, Java, .NET, and other languages researchers can design and build custom applications to provision and manage VMs on demand, dynamically.

Areas covered in the session:

  • How virtual machines can be used in the cloud
  • Wide variety of pre-configured virtual machines available from the Microsoft Azure gallery
  • How to make your own virtual machine from an existing installation
  • An example using Windows and Visual Studio
  • An example using Linux and IPython notebook
  • How to get started with Microsoft Azure VMs, and what to do next
Accelerating Your Research with Microsoft Azure – Webinar
Accelerating Your Research with Microsoft Azure – Webinar
00:43:51

The scale and pace of research is rapidly increasing across disciplines from bioinformatics and engineering, to the environmental and social sciences. As data and compute demands grow, cloud computing can make your research easier by giving you on-demand, flexible and scalable resources for computing and data without fuss. Microsoft Azure is a general, open, and flexible global cloud platform supporting any language, tool, or framework—including Linux, Java, Python, and other non-Microsoft technologies. In this webinar, you will discover what, why, and how Microsoft Azure can be applied to accelerate your research.

Areas covered in the session:

  • What is cloud computing?
  • When to use cloud computing for you research
  • How Microsoft Azure can be applied for data processing, scale out computing, and
  • Real-world research applications on Microsoft Azure
  • How to get started with Microsoft Azure, and what to do next