Capacity Planning for Microsoft Azure Data Centers | Using R & RStudio Connect
Capacity Planning for Microsoft Azure Data Centers | An Explainable Data Science Workflow using R & RStudio Connect | Presented by Paul Chang
2:12 - Start of presentation
47:43 - Start of Q&A session
Thank you for watching! Here are a few helpful links:
* Link to Paul's slides: https://lnkd.in/gh-hGScE
* More information on RStudio Connect: https://www.rstudio.com/products/connect/
* How to open an Azure account: https://azure.microsoft.com/en-us/
* Getting started with SAML authentication on RStudio Connect: https://support.rstudio.com/hc/en-us/articles/360022321494-Getting-Started-with-SAML-in-RStudio-Connect
* pins package: https://pins.rstudio.com/
* plumber package: https://www.rplumber.io/
* Upcoming events: rstd.io/community-events
* Chat with our team to start an RStudio Connect evaluation: rstd.io/chat-with-rstudio
Abstract:
The Long Range Capacity Planning team at Microsoft is responsible for producing plans for expanding Microsoft Azure Data Centers around the world. These are multi-billion dollar plans that enable the full suite of IaaS and PaaS cloud offerings for our customers, over a 5+ year time horizon. In this talk, we will present the data science software stack that we have built using RStudio Connect and Azure, for producing these data center capacity plans. We will discuss how RStudio Connect has empowered our data scientists to connect more directly with internal stakeholders and decision makers, and how RStudio Connect has enabled us to streamline our data science and business processes.
Speaker Bio: Paul Chang, Senior Data & Applied Scientist, Microsoft
Paul Chang is the Systems Architect of the Long Range Capacity Planning team for Microsoft Azure Data Centers. He received his Applied Math PhD from Simon Fraser University and has worked in a variety of fields including Applied Functional Analysis, Hydrogen Fuel Cell modeling, and A.I. Applications in Vehicular Traffic Engineering. He was also a software engineer in SQL Azure for a couple of years.
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