PPT-Azure Solution Alignment Workshop

Azure Subscription Model Design Workshop Purpose of this workshop Develop the foundational Azure Subscription Design Why are we here today Decisions Subscription requirements and design to support Azure Pilot migrations. Swarun Kumar. Fadel. . Adib. , . Omid. Aryan, . Shyamnath. . Gollakota. . and Dina Katabi . Major Advances in MIMO. E.g. Interference Alignment. . Significant gains in throughput. Single-Antenna Devices. Image from http://graphics.cs.cmu.edu/courses/15-463/2010_fall/. A look into the past. http://blog.flickr.net/en/2010/01/27/a-look-into-the-past/. A look into the past. Leningrad during the blockade. CS/. BioE. 598. Tandy Warnow. Alignment Error/Accuracy. SP-FN: percentage of homologies in the true alignment that are *not* recovered. SP-FP: percentage of homologies in the estimated alignment that are false. Jia. -Ming Chang, Paolo Di . Tommaso. , and Cedric . Notredame. TCS. : A new multiple sequence alignment reliability measure to estimate alignment accuracy and improve phylogenetic tree . reconstruction, .  Michael Conrad. . Product Unit Manager. Microsoft Corporation. ES25. Live Meeting Service overview. Introducing our proof of concept service. Building on Windows Azure. Deployment and management. “. The principle of alignment states that nothing should be placed on the page arbitrarily. Every item should have a visual connection with something else on the page.. ”. Left aligned . Right . aligned. A. Adriansyah. 1. ,. J. Munoz Gamma. 2. , . J. Carmona. 2. , B.F. van Dongen. 1. , . W.M.P. van der Aalst. 1. Tallinn, 3 September 2012. Department . of Mathematics and Computer Science, Eindhoven University of . Tandy Warnow. The Department of Computer Science. The University of Texas at Austin. The “Tree of Life”. Avian Phylogenomics Project. G Zhang, . BGI. . Approx. 50 species, whole genomes. 8000+ genes, UCEs. with. PASTA. Michael Nute. Austin, TX. June 17, 2016. Agenda. Quick recap of PASTA Algorithm. Run the GUI. Explore GUI options and what they do in terms of PASTA. Run a test alignment. Explore PASTA outputs and diagnostics. Swarun Kumar. Fadel. . Adib. , . Omid. Aryan, . Shyamnath. . Gollakota. . and Dina Katabi . Major Advances in MIMO. E.g. Interference Alignment. . Significant gains in throughput. Single-Antenna Devices. <Presenter name>. <Presenter role>. Objectives. 8/15/2014. 2. Solution Overview. Your Scenario. Microsoft Azure Overview. Solution Alignment. Microsoft Azure Compute – Infrastructure as a Service (IaaS) Virtual Machines. Module 6 – Identity. Your primary goal is to help customers:. Understand the concepts around Azure Hybrid Identity. Allow customers to understand the positioning of Azure Active Directory and what is required to provide identity in Azure. Solution pitch deck. Table of Contents. Challenge. Solution Intro. Solution Conceptual Overview. Solution Details & Architecture. Solution Differentiation. Customer Evidence. Next Steps. IoT. is a . File: . aka.ms/FY20Taxonomy. Table of Content. What you’ll find in this document. Slides. Taxonomy Design Principles. Business Goals. Guiding Principles. Structure and Definitions for Solution Areas and prioritized Industries.