Relevant bibliographies by topics / Microsoft Azure

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Microsoft Azure'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Microsoft Azure"

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Kumar, Sanjeev. "Microsoft Azure Dynamic Pipelines." International Journal of Computer Trends and Technology 69, no. 2 (February 25, 2021): 41–45. http://dx.doi.org/10.14445/22312803/ijctt-v69i2p106.

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Тодић, Десанка. "MICROSOFT AZURE-OВА АРХИТЕКТУРА БЕЗ СЕРВЕРА." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 34, no. 03 (March 8, 2019): 614–17. http://dx.doi.org/10.24867/02be41todic.

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У раду су описане архитектуре система информационих технологија од првих система грађених само традиционалном монолитном архитектуром, затим преко система грађених помоћу микросервиса до систем без сервера и коришћења готове инфраструктуре за градњу жељеног система. Акценат рада је стављен на архитектуру без сервера Microsoft Azure и његове Azure функције које су детаљно објашњене.
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Amrullah, Agit, Agung Nugroho, and Zekriansyah Ramadhan. "PERBANDINGAN KINERJA WEB SERVER PADA PENYEDIA LAYANAN CLOUD MICROSOFT AZURE DAN AMAZON WEB SERVICES." Jurnal Informatika Teknologi dan Sains 5, no. 1 (February 8, 2023): 92–97. http://dx.doi.org/10.51401/jinteks.v5i1.2487.

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Webserver adalah hal yang sangat penting sebagai layanan yang dibutuhkan agar klien dapat mengakses WWW (World Wide Web) menggunakan web browser mereka. Apache dan nginx adalah software web server yang paling banyak dipakai didunia, selain karena integrasinya yang mudah ke berbagai panel web seperti Cpanel, kedua software ini memiliki kestabilan yang mempuni dalam menanangani permintaan klien. Microsoft Azure dan Amazon Web Services sebagai salah satu penyedia layanan Cloud Computing Software As Service (SaaS) dan Platform As Service (PaaS), memiliki performa yang berbeda untuk implementasi pada web server. Penelitian ini bertujuan dalam melakukan analisa kinerja webserver apache dan nginx pada platform Microsoft Azure dan Amazon Web Services (AWS). Dari analisa yang dilakukan bahwasanya webserver Apache lebih unggul dengan margin persentase rata-rata sebesar 7% diplatform Microsoft Azure dan Nginx lebih unggul di platform Microsoft Azure dengan margin persentase sebesar 8,21%.
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Giuri, Maurizio. "Microsoft bietet ChatGPT an." Lebensmittel Zeitung 75, no. 3 (2023): 50. http://dx.doi.org/10.51202/0947-7527-2023-3-050.

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Microsoft will Kunden seines Cloud-Dienstes Azure bald die Chat-Software ChatGPT verfügbar machen. US-Medien hatten zuletzt über einen Milliardendeal berichtet, mit dem sich der Konzern ein Drittel an der ChatGPT-Mutter OpenAI sichern möchte.
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S, Sivakumar, Rajasekaran Kondareddy, and Kalyani Ayyemperumal. "Building SaaS solutions using microsoft azure for achieving safe and secure tax related software." Scientific Temper 14, no. 02 (June 6, 2023): 521–26. http://dx.doi.org/10.58414/scientifictemper.2023.14.2.45.

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Several services offered by Microsoft Azure Cloud Platform are used for building, running and managing applications. These Services include Azure Active Directory (AD), Azure Virtual Machines (VMs), Azure App Services, Azure DevOps etc have been used to develop this system which can manage all real estate tax servicing needs. It significantly reduces servicing costs with the Tax Outsourcing platform. This system is a SaaS product that many customers request to maintain current tax status on loan portfolios to ensure taxes are paid on time. The contracted loans include tax identification numbers and parcel numbers, current year taxes, back taxes that are past due, information about tax redemption, etc.
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Dimić, Slađana. "SISTEM ZA BEZBEDNU KOMUNIKACIJU DVA KORISNIKA PUTEM RAZMENE PORUKA." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 35, no. 04 (April 2, 2020): 794–97. http://dx.doi.org/10.24867/07oi01dimic.

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Cilj ovog rada jeste da se obezbedi sigurna komunikacija u vidu razmene mail-a dva koris­nika preko Web aplikacije i Microsoft Outlook-a, klijenta Microsoft Exchange-a. Za ovu komunikaciju potrebno je registrovati novu aplikaciju na Microsoft Azure portalu koja ima identifikatore neophodne za dobavljanje Bearer tokena. Bearer token sluzi da se klijent, u ovom slučaju razvijena Web aplikacija, autentifikuje servisu. Klijent je tada u mogućnosti da, preko Microsoft Graph RESTful Web API-a, potraži sve korisnike određene grupe registrovane na Azure Active Directory-u i pošalje mail odabranom korisniku.
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Milan, KLEMENT. "MICROSOFT AZURE - ONE OF THE POSSIBLE WAYS TO VIRTUALIZATION." Trends in Education 9, no. 1 (July 1, 2016): 139–47. http://dx.doi.org/10.5507/tvv.2016.019.

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Muhammad Fahmi, I Ketut Gede Suhartana, and I Komang Ari Mogi. "PERANCANGAN EXAM TRAINING SEBAGAI SISTEM PEMBELAJARAN WEB DENGAN MICROSOFT AZURE UNTUK PESERTA UJIAN SERTIFIKASI." Jurnal Pengabdian Informatika 1, no. 1 (November 1, 2022): 253–58. http://dx.doi.org/10.24843/jupita.2022.v01.i01.p36.

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Exam Training dibangun berbasis website untuk mengatasi masalah peserta pada cloud fundamental track di Microsoft Indonesia dalam menghadapi ujian sertifikasi. Perancangan dan Pengembangan Exam Training menggunakan platform moodle sebagai frontend nya dan microsoft azure pada sisi backend nya. Penerapan microsoft azure dalam proses perancangan sistem memberikan kemudahan kepada developer dikarenakan tidak perlu memikirkan kebutuhan infrastruktur secara on-premises. Pengujian sistem menggunakan blackbox testing untuk menguji fungsionalitas sistem. Dari proses pengujian tersebut diperoleh masukan dan keluaran yang diharapkan.
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Al-Sayyed, Rizik M. H., Wadi’ A. Hijawi, Anwar M. Bashiti, Ibrahim AlJarah, Nadim Obeid, and Omar Y. A. Al-Adwan. "An Investigation of Microsoft Azure and Amazon Web Services from Users’ Perspectives." International Journal of Emerging Technologies in Learning (iJET) 14, no. 10 (May 30, 2019): 217. http://dx.doi.org/10.3991/ijet.v14i10.9902.

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Cloud computing is one of the paradigms that have undertaken to deliver the utility computing concept. It views computing as a utility similar to water and electricity. We aim in this paper to make an investigation of two highly efficacious Cloud platforms: Microsoft Azure (Azure) and Amazon Web Services (AWS) from users’ perspectives the point of view of users. We highlight and compare in depth the features of Azure and AWS from users’ perspectives. The features which we shall focus on include (1) Pricing, (2) Availability, (3) Confidentiality, (4) Secrecy, (5) Tier Account and (6) Service Level Agreement (SLA). The study shows that Azure is more appropriate when considering Pricing and Availability (Error Rate) while AWS is more appropriate when considering Tier account. Our user survey study and its statistical analysis agreed with the arguments made for each of the six comparisons factors.
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Савчук, Т. О., and І. П. Пастух. "РОЗПІЗНАВАННЯ ЕМОЦІЙ УЧАСНИКІВ ВІДЕОКОНФЕРЕНЦІЙ В MICROSOFT TEAMS." Таврійський науковий вісник. Серія: Технічні науки, no. 6 (February 13, 2023): 18–24. http://dx.doi.org/10.32851/tnv-tech.2022.6.3.

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Запропоновано інформаційну технологію розпізнавання емоцій учасників відеоконференцій у Microsoft Teams за рахунок використання нейронної згорткової мережі та засобів технології Azure, а також розроблено її структуру та структуру компонентів платформи Azure. Проаналізовано засоби-аналоги та виявлено їх переваги і недоліки. Проаналізовано узагальнений метод розпізнавання емоцій учасників відеоконфернецій, визначено його недоліки та запропоновано удосконалений метод розпізнавання емоцій учасників відеоконференцій у Microsoft Teams, що дало можливість автоматизувати роботу користувача та отримувати дані про емоційні реакції учасників відеоконференцій на певні новини, оголошення, теми дискусій, для оцінки здібностей ораторів, виявлення емоційно негативних моментів відеоконференцій та причин їх виникнення за рахунок використання бібліотеки Graph API та засобів хмарної технології Azure. Запропонований удосконалений метод ліг в основу відповідної інформаційної технології. Проведено експерименти, кожен з яких передбачав різну кількість учасників відеоконференцій, різні сценарії, різні комбінації ввімкнення та вимкнення камер та різні емоції. Аналіз результатів функціонування показав, що розроблена інформаційна технологія потребує одноразового запуску для того, щоб обробляти будь-яку кількість відеоконференцій, в той час як засоби-аналоги потребують окремого запуску на кожну відеоконференцію. Розроблена технологія надає можливість розпізнати 94% емоцій учасників відеоконференцій на відміну від засобів-аналогів, так як вона підтримує велику кількість учасників одночасно без погіршення якості їх зображень, а також ідентифікувати усіх учасників відеоконференції та їх емоційний стан, що неможливо при використанні сучасних програмних засобів.
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Dissertations / Theses on the topic "Microsoft Azure"

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Persson, Henrik. "Microsoft Azure i IoT-utveckling." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-55082.

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AF’s office in Karlstad currently offer consultation regarding Internet of Things but are looking to expand into development of services. They have requested that an end-to-end solution is developed in order to demonstrate the technology to potential clients. This thesis describes the work performed to realize an end-to-end solution for connecting sensors and actuators to the cloud. It also describes the problems experienced while working with Microsofts platform for cloud services, Azure.
Företaget ÅFs Karlstadkontor bistår i dagsläget med konsultering gällande Internet of Things men vill även börja utveckla och sälja tjänster. För att kunna demonstrera teknologin för potentiella kunder har de begärt att en end-to-end-lösning utvecklas. Den här uppsatsen beskriver det arbete som har utförts för att realisera en end-to-end-lösning för att koppla sensorer och ställdon till molnet. Den redogör även för de svårigheter som upplevdes gällande Microsofts plattform för molntjänster, Azure.
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Barzi, Eddie. "Servizi Serverless di Microsoft Azure." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24298/.

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Questo documento vuole presentare alcuni dei servizi cloud offerti da Microsoft Azure, partendo da una panoramica sul cloud computing e sui vantaggi e svantaggi dell'elaborazione serverless. In particolar modo verranno descritti nel dettaglio tre servizi offerti da Microsoft: Azure App Service, Azure Functions e Azure Durable Functions. Ci sarà poi un capitolo dedicato a una comparativa generale sugli equivalenti servizi serverless offerti da Amazon AWS, ovvero AWS Lambda per le Azure Functions e AWS Step Functions per Azure Durable Functions. Infine verrà mostrata la realizzazione di due applicazioni che fanno uso di queste tecnologie, Azure Functions e Azure Durable Functions, procedendo prima con uno sviluppo in locale e poi con il deploy sul cloud.
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Matsson, Carl Philip. "Securing Microsoft Azure : Automatic Access Control List Rule Generation to Secure Microsoft Azure Cloud Networks." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-55295.

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Birgersson, Christoffer. "Site to Cloud lösning i Microsoft Azure." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-65764.

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I dagens samhälle så blir vi allt mer och mer beroende av den teknik vi utvecklar, därför är det av större vikt att vi alltid skall ha tillgång till den information som vi behöver för att kunna göra våra dagliga sysslor. Detta lägger större press på att de system som utvecklas skall fungera felfritt och man skall ha snabba responstider för att allt ska flyta på så bra som möjligt och om det så skulle bli en kritisk systemkrasch så skall inte informationen gå helt förlorad. Därför har det blivit populärt att ändra från att ha personliga servrar till att köra allt mer och mer applikationer och information i det så kallade ”molnet”.  Därför är det av allt större intresse att ha koll på några av de större leverantörerna av molntjänster och hur man kan använda dessa för att få en bättre verksamhet. Därför kommer denna rapport att handla om hur ett arbete utförts på TeamNorrs begäran för att göra en jämförelse mellan Microsoft Azure, Google Cloud Platform och Amazon Web Services. Den kommer även gå igenom hur responstiderna ser ut till några av världens datacenter med en utgångspunkt från TeamNorrs huvudkontor i Umeå. Rapporten går även igenom hur man själv kan testa på Microsoft Azure, Google Cloud Platform och Amazon Web Services, och hur man i Microsoft Azure kan göra en så kallad ”Site to Cloud” lösning med en VPN tunnel för att kunna skapa en MSSQL backup i molnet. Sedan diskuteras för och nackdelar med det arbete som utförts, samt vilka förbättringar som skulle kunna vara aktuella i framtiden.
In todays society we become more and more dependent on the technology we develop, so it is of greater importance that we always have access to the information we need to do our daily tasks. It is more pressing than ever that the developed systems should work well and that you should have quick response times for everything to flow as smooth as possible and if there would be a critical system crash, the information should not be completely lost. Therefore, it has become more popular to go from, having personal servers to use more and more applications and information in the so-called "cloud". That´s why it is becoming increasingly important to keep track of some of the major cloud service providers and how to use them to archive a better business. This report will be about how a work was done at TeamNorrs request to make a comparison between Microsoft Azure, Google Cloud Platform and Amazon Web Services. It will also review the response times to some of the worlds data centers with a starting point from TeamNorrs headquarters in Umeå. It also describe how you can put up your own environment to test Microsoft Azure, Google Cloud Platform and Amazon Web Services, and how to do a so-called "Site to Cloud" solution with a Virtual Private Network tunnel in Microsoft Azure, where it will also show you how you can create an MSSQL backup in the cloud. Then discusses the pros and cons of the work done and what improvements could be relevant for the future.
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Bui, Michael, and Magnus Pedersen. "Implementation of a Log Agent in Microsoft Azure : and packaging it to Azure Marketplace." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-36334.

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Cloud computing is still in an early stage of development and Microsoft is now investing considerable amount of resources in the cloud. Microsoft Azure is a cloud platform developed by Microsoft and it is continuously evolving, new features are constantly being added and old features are being updated. Integration Software, which is a company that focuses on products for system integration strongly believes that cloud­-based solutions will have a significant impact on their future. This is why selling and developing solutions and services for the cloud are strategically important for them. The objective of this dissertation is to investigate Microsoft Azure in general and Azure Marketplace in particular. This investigation consisted of an implementation of a Microsoft Azure application and integrating this application with Azure Marketplace and evaluating the expenses for running the application. The purpose for this project is to gain practical experience and to work with new techniques and help Integration Software better understand Azure Marketplace. The application is a Log Agent which fetches data from an external source and resends the data to an external party (Integration Manager). Our first intention was to package and deploy the application to a newly updated Azure Marketplace. The new Azure Marketplace was never released during this dissertation so we decided to deploy the application to the existing version of Azure Marketplace. This was however not fully successful. We encountered some problems in successfully deploying the application to Azure Marketplace. The evaluations for the cost of running an Azure application were not carried out due to lack of time.
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Larsson, Henrik. "Azure Service Bus : en kravstudie." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31045.

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The aim of this study has been to determine whether Microsoft Azure Service Bus has been able to match the needs and demands of Sogeti and its clients during a transition to a distributed and service-oriented system, as well as investi- gate possible gains that can be attained from such a transition. The study has also critically examined the potential problems and difficulties that may arise in such a scenario. The study has been accomplished using a literature study as well as the development of a Proof-of-Concept model to simulate such a system and to make calculations and surveys of and within one. The survey has shown that the Azure Service Bus does match the pre-defined requirements and requisites, as well as demonstrated how safe communication can be guaranteed using this particular service bus. The study concludes with an analysis of the study as a whole and the results thereof in particular, as well as proposes measures for further research on the subject. Finally, recommendations are made on how the client should proceed based on what is found in the study.
Målet med denna studie har varit att utröna huruvida Microsoft Azure Service Bus har kunnat matcha de behov och krav som Sogeti och dess klienter har på en sådan vid en övergång till ett distribuerat tjänsteorienterat system, samt undersöka vilka eventuella vinster som finns att göra vid en sådan övergång. Studien har också kritiskt granskat de problem och svårigheter som kan komma att uppstå. Undersökningen har gjorts med hjälp av en litteraturstudie samt en utveckling av en Proof-of-Concept-modell för att simulera ett sådant system och för att kunna göra beräkningar och undersökningar av och inom ett sådant. Undersökningen har visat att Azure Service Bus matchar de krav och önskemål som på förhand ställts, samt visat på hur säker kommunikation kan garanteras med hjälp av denna servicebuss. Undersökningen avslutas med en analys av studien som helhet och resultatet i synnerhet, samt föreslår åtgärder vid vidare forskning inom ämnet. Avslutningsvis lämnas rekommendationer på hur uppdragsgivaren ska gå tillväga baserat på vad som i studien framkommer.
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Jiang, Yiliang. "Quantitative comparison of SensibleThings and Microsoft Azure IoT Hub." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-28043.

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With the development of the Internet-of-Things, more and more IoT platforms come up with different structures and characteristics. Making balance of their advantages and disadvantages, we should choose the suitable platform in differ- ent scenarios. For this project, I make comparison of a cloud-based centralized platform, Microsoft Azure IoT hub and a fully distributed platform, Sensi- bleThings. Quantitative comparison is made for performance by 2 scenarios, messages sending speed adds up, devices lie in different location. General com- parison is made for security, utilization and the storage. Finally I draw the con- clusion that SensibleThings performs more stable when a lot of messages push- es to the platform. Microsoft Azure has better geographic expansion. For gener- al comparison, Microsoft Azure IoT hub has better security. The requirement of local device for Microsoft Azure IoT hub is lower than SensibleThings. The SensibleThings are open source and free while Microsoft Azure follow the con- cept “pay as you go” with many throttling limitations for different editions. Microsoft is more user-friendly.
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Macha, Tejeda Gary, and Quispe Juan Samuel Felix. "Plan de migracion del servicio cloud utilizando Microsoft Azure." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2018. http://hdl.handle.net/10757/624859.

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Este proyecto tiene como objetivo principal desarrollar una investigación sobre los servicios que ofrece la plataforma de Microsoft Azure, diseñando sus respectivas arquitecturas y realizando las pruebas de conceptos, para finalmente proponer continuidad a través de un proyecto de implementación en una de las Empresas Virtuales de la Escuela de Ingeniería de Sistemas y Computación (EISC).
The development of this research project aims to conduct a research for the School of Engineering Systems and Computation (EISC) of the Universidad Peruana de Ciencias Aplicadas on the services offered by Microsoft Azure and which could be implemented in virtual companies.
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Ding, Yuxia. "Internet of Things : Quantitative Evaluation on Microsoft Azure IoT Suite." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31006.

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The Internet of Things (IoT) is rapidly gaining ground in our daily life. There is a trend that the number of devices and data increases rapidly in the future. Meanwhile, IoT platforms are emerging to enable people conveniently deal with the IoT and these huge amount of data and devices. Therefore, the goal in this paper is to perform a quantitative evaluation on Microsoft Azure, one of the IoT platform, about its advantages and disadvantages under press to determine if Azure IoT is fit for future IoT. In order to reach this goal, Azure IoT Hub is used as a bridge to connect and manage lots of IoT devices which send and receive huge amount of data. .NET is used to simulate devices and connect them to the IoT Hub. The two-way communication from sensor to cloud and from cloud to actuator is implemented through MQTT protocol. This paper makes measurements on three metrics including response time from sensor sending messages to actuator receiving messages, scalability and cost and analyzes them in detail. Besides, the analysis is also made in a specific scenario which has high demand on sensor update to see how Azure IoT performs. Finally, conclusion is made on Microsoft Azure IoT's advantages and disadvantages under stress.
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Winberg, André, and Ramin Alberto Golrang. "Analytics as a Service : Analysis of services in Microsoft Azure." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-47655.

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Books on the topic "Microsoft Azure"

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Soh, Julian, Marshall Copeland, Anthony Puca, and Micheleen Harris. Microsoft Azure. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5958-0.

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Copeland, Marshall, Julian Soh, Anthony Puca, Mike Manning, and David Gollob. Microsoft Azure. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1043-7.

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Ambi Karthikeyan, Shijimol. Practical Microsoft Azure IaaS. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3763-2.

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Sabale, Arun, and Balu N. Ilag. Microsoft Azure Virtual Desktop Guide. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8063-8.

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Mishra, Abhishek. Microsoft Azure for Java Developers. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8251-9.

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Guay Paz, José Rolando. Microsoft Azure Cosmos DB Revealed. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3351-1.

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Preston, Stuart. Using Chef with Microsoft Azure. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1476-3.

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Talaat, Sherif. Pro PowerShell for Microsoft Azure. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0665-2.

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Washam, Michael. Automating microsoft azure infrastructure services. Sebastopol, CA: O'Reilly Media, 2015.

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Chakraborty, Bapi, and Yashajeet Chowdhury. Introducing Disaster Recovery with Microsoft Azure. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5917-7.

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Book chapters on the topic "Microsoft Azure"

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Schwichtenberg, Holger. "Microsoft Azure." In PowerShell 7 und Windows PowerShell 5 – das Praxisbuch, 1188–241. 5th ed. München: Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446474468.063.

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Vermeir, Nico. "Microsoft Azure." In Introducing .NET 6, 221–57. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7319-7_8.

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Schwichtenberg, Holger. "Microsoft Azure." In Windows PowerShell 5 und PowerShell 7, 1155–202. München: Carl Hanser Verlag GmbH & Co. KG, 2020. http://dx.doi.org/10.3139/9783446460812.064.

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Kingsley, M. Scott. "Microsoft Azure." In Textbooks in Telecommunication Engineering, 127–41. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33669-0_7.

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Soh, Julian, Marshall Copeland, Anthony Puca, and Micheleen Harris. "Azure Storage." In Microsoft Azure, 271–91. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5958-0_14.

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Soh, Julian, Marshall Copeland, Anthony Puca, and Micheleen Harris. "Azure Web Apps." In Microsoft Azure, 233–48. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5958-0_12.

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Soh, Julian, Marshall Copeland, Anthony Puca, and Micheleen Harris. "Azure Data Services." In Microsoft Azure, 369–409. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5958-0_17.

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Soh, Julian, Marshall Copeland, Anthony Puca, and Micheleen Harris. "Implementing Azure Networking." In Microsoft Azure, 137–63. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5958-0_9.

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Copeland, Marshall, Julian Soh, Anthony Puca, Mike Manning, and David Gollob. "Microsoft Azure and Cloud Computing." In Microsoft Azure, 3–26. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1043-7_1.

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Copeland, Marshall, Julian Soh, Anthony Puca, Mike Manning, and David Gollob. "Extending Azure Active Directory." In Microsoft Azure, 281–300. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1043-7_10.

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Conference papers on the topic "Microsoft Azure"

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Lang, Willis, Frank Bertsch, David J. DeWitt, and Nigel Ellis. "Microsoft azure SQL database telemetry." In SoCC '15: ACM Symposium on Cloud Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2806777.2806845.

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Fiodorov, M. O. "Microsoft Azure как платформа для публикации web-ориентированных систем." In INFORMACIONNYE TEHNOLOGII I MATEMATICHESKOE MODELIROVANIE SISTEM 2019. Центр информационных технологий в проектировании Российской академии наук, 2019. http://dx.doi.org/10.36581/citp.2019.14.51.007.

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Рассматривается платформа Microsoft Azure как вариант для публикации web-ориентированных систем. Описывается классификация облачных сервисов. Рассматриваются возможности Microsoft Azure как платформа для публикации приложений. Делается вывод, что публикация web-ориентированных систем на основе платформы Azure особенно целесообразна вследствие того, что возможен выбор между компонентами распределенной системы.
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Ələkbərov, Rəşid, and Cəmil Qurbanzadə. "Bulud texnologiyalarında “Microsoft Azure” platformasından istifadə məsələləri." In Proqram mühəndisliyinin aktual elmi-praktiki problemləri. Institute of Information Technology of Azerbaijan National Academy of Sciences, 2017. http://dx.doi.org/10.25045/ncsofteng.2017.66.

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Chatterjee, Arijit, and Kendall Nygard. "Predicting Stock Close Price Using Microsoft Azure." In ASONAM '17: Advances in Social Networks Analysis and Mining 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3110025.3120983.

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Persico, Valerio, Pietro Marchetta, Alessio Botta, and Antonio Pescape. "On Network Throughput Variability in Microsoft Azure Cloud." In GLOBECOM 2015 - 2015 IEEE Global Communications Conference. IEEE, 2015. http://dx.doi.org/10.1109/glocom.2015.7416997.

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Persico, Valerio, Pietro Marchetta, Alessio Botta, and Antonio Pescape. "On Network Throughput Variability in Microsoft Azure Cloud." In GLOBECOM 2015 - 2015 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7416997.

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Shehab, Amjad Hameed, and Sufyan T. Faraj Al-Janabi. "Microsoft Azure IoT-based Edge Computing for Smart Homes." In 2020 International Conference on Decision Aid Sciences and Application (DASA). IEEE, 2020. http://dx.doi.org/10.1109/dasa51403.2020.9317274.

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Vuppalapati, Chandrasekar, Anitha Ilapakurti, Karthik Chillara, Sharat Kedari, and Vanaja Mamidi. "Automating Tiny ML Intelligent Sensors DevOPS Using Microsoft Azure." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377755.

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Sampaio, Matheus Xavier, Regis Pires Magalhães, Ticiana Linhares Coelho da Silva, Lívia Almada Cruz, Davi Romero de Vasconcelos, José Antônio Fernandes de Macêdo, and Marianna Gonçalves Fontenele Ferreira. "Evaluation of Automatic Speech Recognition Systems." In Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbbd.2021.17889.

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Automatic Speech Recognition (ASR) is an essential task for many applications like automatic caption generation for videos, voice search, voice commands for smart homes, and chatbots. Due to the increasing popularity of these applications and the advances in deep learning models for transcribing speech into text, this work aims to evaluate the performance of commercial solutions for ASR that use deep learning models, such as Facebook Wit.ai, Microsoft Azure Speech, and Google Cloud Speech-to-Text. The results demonstrate that the evaluated solutions slightly differ. However, Microsoft Azure Speech outperformed the other analyzed APIs.
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Das, Sudipto, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek R. Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, and Surajit Chaudhuri. "Automatically Indexing Millions of Databases in Microsoft Azure SQL Database." In SIGMOD/PODS '19: International Conference on Management of Data. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3299869.3314035.

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Reports on the topic "Microsoft Azure"

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Vargas Barsante Pinto, Thomas, and Thiago Euzebio. Utilização do microsoft azure para IIoT. ITV, 2021. http://dx.doi.org/10.29223/prod.tec.itv.mi.2021.17.matos.

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Masrol, Fazrul Nazrin Bin. Text Classification for Businesses via Microsoft Azure Machine Learning. Ames (Iowa): Iowa State University, May 2023. http://dx.doi.org/10.31274/cc-20240624-1392.

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