This video provides an overview of the different cloud services available, including Microsoft Azure. It covers the basics of using Azure, such as selecting an instance type and setting up security groups. It also explains the key differences between Amazon Web Services (AWS) and Google Cloud Platform (GCP). Finally, the video provides an example of how to use Azure.
00:00:00 The author of this video explains how cloud computing came about and how it has changed the way we do business. He goes on to discuss the different disadvantages of using traditional servers, and how cloud computing has solved these issues. He then goes on to discuss the different advantages of using cloud computing, including the ability to focus on your business instead of troubleshooting infrastructure issues. He finishes the video by discussing the most common questions interviewers ask candidates who have experience with cloud computing.
00:05:00 Cloud computing is an online service that allows users to access resources and applications from anywhere in the world. There are three models of cloud computing- iaas, paas, and saas. SAS is a software-as-a-service model in which the user consumes a service that is already maintained and handled by someone else.
00:10:00 Azure is a suite of cloud computing services that allow users to create their own applications, deploy them on different platforms, and access them from anywhere. There are three deployment models-public, private, and hybrid-and three clouds-public, private, and hybrid. Amazon Web Services is the most popular cloud provider, Microsoft Azure is second, and Google Cloud Platform is third.
00:15:00 AWS provides a free tier for one year, after which time users must upgrade to a paid service or cancel their subscription. AWS also has compute services, storage services, and a Lambda service.
00:20:00 This YouTube video provides an overview of the different cloud services available, including Microsoft Azure. It covers the basics of using Azure, such as selecting an instance type and setting up security groups. It also explains the key differences between Amazon Web Services (AWS) and Google Cloud Platform (GCP). Finally, the video provides an example of how to use Azure.
00:25:00 This video explains how Azure can help with a career shift into the cloud industry. Azure is the leading cloud provider and has many job opportunities available. The course helps riders understand the basics of Microsoft Azure and its features. The first use case is a simple website that uses images to play background music. The second use case is how Azure can be used to create a website with a slideshow.
00:30:00 The app service is a part of the Azure compute domain and provides virtual machines, MySQL databases, and blob storage. The load balancer and auto-scaling are also implemented by the app service.
00:35:00 Azure is a cloud computing platform that enables you to create virtual machines, app servers, and other services. Functions are a new technology that allows you to execute tasks without needing to specify the configuration.
00:40:00 The video discusses the use of Azure services for deploying a website, blobs storage, and backups. Functions are used to speed up the process of implementing and executing tasks.
00:45:00 In this YouTube video, Edureka's Azure instructor shows how to use the Azure services for storage, load balancing, and scaling. The instructor also demonstrates how to launch an app service in the Azure user interface.
00:50:00 In this video, Edureka instructor Adam Brown demonstrates how to create a Microsoft Azure web app and a MySQL database using the Azure portal. Once the application and database have been created, Brown goes on to discuss how to use Azure insights to monitor the applications' performance. Finally, he shows how to create a shortcut on a user's dashboard to quickly access the applications.
00:55:00 The video explains how Azure Auto Scaling works, and shows how to set up an Auto Scaling policy that scales an app's number of instances based on a metric.
This video tutorial provides an overview of how to use Microsoft Azure, covering topics such as configuring a web app, managing security, and using Azure storage.
01:00:00 In this 8-hour Azure training course, the instructor covers the basics of Azure, including how to set up and monitor metrics, scale up or down according to a metric, and set up rules to auto-scale.
01:05:00 In this video, Edureka instructor Philip shows how to configure and connect to a MySQL database on an Azure web app. He also shows how to create a table and show the contents of the table.
01:10:00 In this video, the presenter demonstrates how to use FTP software called filezilla to transfer files from one session to the next. Next, they show how to configure storage on their Azure web app using FTP. Finally, they demonstrate how to update a file in their web app using FTP.
01:15:00 This YouTube video walks viewers through setting up a Microsoft Azure development environment, including creating a new storage account and database, and uploading a file to Azure. The video also demonstrates how to use Azure to view and update files in the cloud.
01:20:00 In this 8-hour Azure course, the instructor demonstrates how to configure a web app, manage security, and use credits to try out different services for free.
01:25:00 In this video, Edureka instructor Raghu Venkat explains why businesses need storage, and how Azure's storage components can be used to meet that need. He also provides an example of a use case and explains how Azure's storage can be used to meet that use case.
01:30:00 Azure storage is a service from a server that can store any kind of file. It is not limited to the cloud, and it can be added to a database or storage service.
01:35:00 This 1-hour video tutorial explains how to create a storage account in Azure, and then choose between block storage and general-purpose storage. The tutorial also covers replication options and explains how to use the different types of redundancy.
01:40:00 Azure storage is a system where you can store files and access them from a website or from a computer inside the Azure cloud. You can also use Azure storage to store data for applications.
01:45:00 In this video, Edureka's Azure instructor discusses queues, which are a mechanism for managing large numbers of jobs. Queues are created in a storage account, and a connection string is needed for the code to interact with the queue. The queue is then used to send and receive messages. When a message is processed, it is deleted from the queue.
01:50:00 Azure Full Course teaches users how to use Microsoft Azure, from setting up an account to uploading and processing files. The video shows how to use blob storage, queues, and links to process files and update websites with the latest changes.
01:55:00 In this 8-hour Azure tutorial, you will learn how to use Azure storage accounts, files, and drives. You will also learn how to mount a network drive on a computer.
This video is a tutorial on how to set up a web server on Azure. The presenter starts by demonstrating how to create a virtual network and deploy a web server within it. Next, they show how to add a firewall to the server and configure the security settings. Finally, they demonstrate how to connect to the server and upload a website.
02:00:00 Azure tables provide a simple, easy way to store data that is changing dynamically. Rachel demonstrates how to use tables to upload data from a website into a table in Azure, and then views the data in the table using Studio.
02:05:00 In this video, Edureka instructor, Saurabh Sharma, explains how to create tables in Azure, and how to populate them with data. He also demonstrates how to add and edit fields in a table.
02:10:00 In this video, Edureka instructor Paul Heyman explains what a virtual machine is, how virtual networks can be useful, and how to deploy virtual machines and virtual networks in Azure.
02:15:00 Azure is a Cloud platform that allows users to create virtual networks and servers. Virtual networks are representations of the user's physical network, and servers are isolated in virtual networks. Subnets are used to create different properties for servers in a virtual network. A network security group is used to configure the protocols and properties for a particular server.
02:20:00 In this video, Edureka instructor Carlos Figueroa demonstrates how to create a network security group and a virtual network, and how to deploy web and database servers within them.
02:25:00 In this video, the author demonstrates how to create a virtual network, deploy subnets, and attach a firewall to a subnet.
02:30:00 This video teaches how to set up a Microsoft Azure web server. First, the public IP address is assigned. Then, the network security group is created and the server is validated for properties. After that, the server is purchased and deployed.
02:35:00 The author demonstrates how to set up a web server on Azure using Ubuntu and the Apache web server. After installing the required software, he updates Ubuntu and installs PHP. He then accesses his website on localhost.
02:40:00 This video explains how to set up a web server, install and configure a MySQL database, and connect to it using SSH.
02:45:00 In this video, the presenter explains how to create a new user and connect to the database using MySQL. Afterwards, the presenter configures the MySQL service and creates a new database. Finally, the presenter demonstrates how to connect to the database and create table entries.
02:50:00 In this video, Edureka's Azure instructor shows how to create a web server, database, and VM in Azure. They then go on to show how to configure the properties of the web server. Finally, they show how to connect to the web server and show that it is not working at this point. They will install the necessary software and then the website will start working.
02:55:00 In this video, the presenter demonstrates how to set up a website on a local server and upload it to a web server via PHP and Apache. Afterwards, they configure security for the website and restart the Apache server. Finally, they can access the website by typing in the IP address.
The video covers how to connect to and work with Apache 2 and MySQL on a Windows machine, how to use Azure Active Directory, and how to create work items, backlog items, and features in Microsoft Azure.
03:00:00 In this video, the presenter demonstrates how to connect to and work with Apache 2 on their Windows machine, adding FTP and security rules to allow access from the outside. They then upload a website to the server, and finally delete the Apache page. The presenter then demonstrates how to connect to and work with MySQL on their Windows machine, creating and editing a database, and using the MySQL shell to run various commands.
03:05:00 Azure Active Directory is a cloud-based directory service that helps organizations manage user identities, access rights, and applications. This video explains what Azure Active Directory is, how it works, and some of the different uses it has.
03:10:00 Microsoft Azure Active Directory simplifies the process of logging in to multiple applications, federating different organizations, and managing user identification.
03:15:00 Microsoft Azure provides a variety of options for users, including basic, premium, and premium Plus accounts. Basic accounts are designed for people who are focused on a particular application or on using cloud services, while premium and premium Plus accounts offer more features and services. Using an Azure active directory ensures that users have a secure identity and single sign-on, while also providing access to a variety of services.
03:20:00 In this video, Edureka instructor Rahul Sood demonstrates how to create and administer users in Microsoft Azure Active Directory, including creating users with default permissions, assigning users to domains, and managing user permissions. He also explains premium features of the Azure Active Directory service, including advanced identity management and security.
03:25:00 In this video, Ed demonstrates how to create a user and add a domain name to that user's account in Microsoft Azure. He also shows how to add a sudo identity to that user's account, so that the process of using that user's account becomes easier.
03:30:00 This video explains how to create a new Microsoft Azure domain, user, and directory using the Azure portal.
03:35:00 This video covers what is devops, how it helps reduce the time it takes to commit a change, and some of the tools available to developers working in a devops environment.
03:40:00 Azure DevOps provides integrated tools for developing, testing, deploying, and monitoring applications. Azure boats allow developers to work on tasks, epics, and features, and Repose stores source code and dependencies in one place.
03:45:00 Azure provides a comprehensive infrastructure for managing software projects, including a variety of tools for managing work items, backlogs, and sprints.
03:50:00 In this video, Edureka's Azure instructor shows how to create work items, backlog items, and features in Microsoft Azure. He also explains how to use sprints and backlogs in agile or scrum processes.
03:55:00 This YouTube video explains how to create features in Microsoft Azure using stories. You can create stories for features, tasks, or both. You can also add risk and priority to stories. Once you have created stories, you can add them to the backlog or planing side of your project.
In this 8-hour video course, Edureka covers the basics of Microsoft Azure, including creating a data store, connecting to a service, and deploying data. The course finishes with a demonstration of how to move data to a blob storage and a machine learning model.
04:00:00 In this video, Edureka instructor Michael Stein explains how Azure DevOps can be used to manage source code and projects. He demonstrates how to create and use a repository, and how to check in and push changes to a master branch.
04:05:00 In this video, Edureka's Azure Full Course, the presenter explains how to check in code, create a new application, and build it automatically.
04:10:00 The author creates a build pipeline to build and deploy their project to Azure, and demonstrates how the build process works.
04:15:00 In this video, the presenter covers the various ways in which you can deploy a software application using Azure. First, you can deploy a Java application, a node.js application, or an application in service fabric. You can also deploy a Rails application on Ruby on Rails in App Service. Finally, the presenter shows how to create a release and approve it for deployment.
04:20:00 The Azure Full Course covers the basics of Azure, including user data factories and data pipelines. Afterwards, the course dives into data warehouse concepts and how Azure can help with data integration and analysis.
04:25:00 Azure Full Course - Learn Microsoft Azure in 8 Hours | Azure Tutorial For Beginners | Edureka covers data integration, data visualization, data warehousing, and analytics. The course discusses concepts such as pipelines, data sets, activities, linked services, and data factories.
04:30:00 The Azure data Lake is a fast computation processing system that stores data in any size and of any kind, making it easier to process data. The data Lake also supports replication of data, making it easy to keep data accessible in case of a data loss.
04:35:00 This video explains the concepts of a data Lake and data Factory, and how they can be used to process data. It also demonstrates how to create a database using Microsoft Azure.
04:40:00 The narrator describes how to login to and use the Microsoft Azure portal. He then describes how to create a new resource, a database, and set its properties. He also describes how to deploy the database.
04:45:00 In this video, the author demonstrates how to create a table and insert two records in it in Microsoft Azure using basic SQL. The author also discusses how to create a storage account and a resource group, and how to use the Azure portal to deploy a container.
04:50:00 Azure Full Course - Learn Microsoft Azure in 8 Hours | Azure Tutorial For Beginners | Edureka covers the basics of Azure, including creating a container and a data Factory, copying data, and setting up an integration environment.
04:55:00 In this 8-hour video course, Edureka teaches Azure fundamentals, such as creating a data store, connecting to a service, and deploying data. The course finishes with a demonstration of how to move data to a blob storage and a machine learning model.
This video provides an introduction to using Microsoft Azure to create a chatbot. The presenter discusses how communication has evolved and how chatbots are a way to automate communication using cloud-based platforms such as Azure. They then provide a quick tutorial on how to create an Azure IoT Hub.
05:00:00 Supervised learning is a process where a machine is taught to predict a certain outcome based on pre-existing data. Unsupervised learning is a process where a machine is taught to group data without any prior knowledge of the data.
05:05:00 The video explains supervised and unsupervised learning, and how these algorithms work. It goes on to describe how to get data ready for machine learning, and how to choose the right machine learning algorithm.
05:10:00 Azure is a cloud-based platform that provides a variety of tools for carrying out machine learning. Azure ML Studio helps automate the process of preprocessing algorithms and data, training and testing models, and deploying them into an environment.
05:15:00 In this video, Edureka teacher Eddy Lim explains how to create a Microsoft Azure workspace, sign in to the Azure portal, and create a model or experiment. He also shows how to use data sets and models that are already created.
05:20:00 The video explains how to use Microsoft Azure, starting with creating a simple workflow. The presenter then projects certain columns from a data set into a model and uses those columns to train a recommender system. They then score the data and provide predictions for what the recommender system might recommend.
05:25:00 In this video, an example is given of how to create a recommender system using Microsoft Azure. The example shows how to pass in values such as a score and column names from one table to another table in a joint.
05:30:00 This video tutorial explains how to create a model of a tabular data set in Azure Machine Learning Studio using the joint() function. The model is then used to recommend movies that the viewer might want to watch based on their likes of other movies.
05:35:00 In this video, Edureka's instructor explains what "iot" is, and how it relates to devices, data, and the internet. He then goes on to discuss how IoT can be used to solve various problems, such as notifying someone when they've left their house, or not forgetting their keys.
05:40:00 Azure is a cloud platform that provides services that help you solve various issues related to software development, power consumption, and the Internet of things. Azure also provides integrations with other services to make it easy to implement IoT services.
05:45:00 Azure provides a variety of services that can be used to create software as a service (SAS) or templatized applications for IoT platforms. Azure iot Central is a service that helps connect other services and applications, while Azure iot accelerators provide ready-to-use templates for IoT services. Azure iot Hub is a central point of communication for applications and services, while Azure iot Maps helps track traffic at different locations.
05:50:00 In this video, the presenter walks through the various services that Azure IoT has to offer, including Azure Machine Learning, Azure Blockchain, and Azure Compute. They also provide a quick tutorial on how to create an Azure IoT Hub. The presenter notes that while this is a quick start, more in-depth tutorials are available on the Azure website.
05:55:00 The author provides a brief overview of how communication has evolved, from the days of writing letters by hand to modern messaging apps like WhatsApp and Facebook Messenger. He goes on to discuss how chatbots are a way to automate communication using cloud-based platforms such as Azure. The first topic of discussion is how communication has evolved and how this has led to more human-like interactions. The second topic of the day is how to create a chatbot using Azure.
This video discusses how to use Microsoft Azure to create a chatbot. The chatbot is trained using a knowledge base and can provide helpful responses to questions. The video explains how to set up the chatbot and how to connect it to a Facebook Messenger app.
06:00:00 Chatbots are software that allow humans to communicate with each other more easily. They are useful for tasks such as customer service, policy-making, and online ordering. Chatbots can also be used to improve user experience on websites.
06:05:00 In this video, Edureka instructor, Pradeep, discusses how chatbots can be used to improve efficiency and precision in business and personal interactions. He then demonstrates how to create a chatbot using Microsoft Azure, and how to integrate it with a Facebook Messenger app.
06:10:00 In this video, the presenter explains how Microsoft Azure works and how to create a knowledge base and a QA service on the platform. It takes a longer time for Microsoft Azure to load, but the presenter keeps the viewer engaged with discussion while the knowledge base and QA service are being created.
06:15:00 In this video, the presenter demonstrates how to create a Microsoft Azure account and create a chatbot using the Azure cloud platform. The chatbot is trained using a knowledge base and can provide helpful responses to questions.
06:20:00 The video explains how to create a chatbot using Microsoft Azure, and how to connect it to a knowledge base and Facebook Messenger.
06:25:00 The video introduces Azure, describes how to create a Facebook page, and then shows how to create a chatbot using the Facebook messenger.
06:30:00 The video demonstrates how to set up and connect a chat bot to a messenger app using Azure. After copying page ID, application ID, and authorization key, the user verified and saved the settings. Next, they moved to the dashboard and configured the messenger to use the chat box.
06:35:00 The video explains how to set up a webhook to send and receive messages using Microsoft Azure, and how to create a chatbot using the messaging features of Azure.
06:40:00 This video discusses the three most popular Cloud platforms - Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Each platform offers a wide range of services, with Amazon Web Services leading the market.
06:45:00 This YouTube video teaches how to use Azure, Amazon Web Services, and Google Cloud Platform. Azure and Amazon Web Services are neck-and-neck in terms of features and storage services, but Google Cloud Platform lags behind in some areas. Microsoft Azure offers more storage services than Amazon Web Services and also offers a cloud-based data warehouse. Google Cloud Platform also offers customer-friendly pricing, but Azure and Amazon Web Services offer different type of discounts to name some.
06:50:00 Azure is a popular cloud provider with a number of advantages over its competitors. Azure's security and infrastructure features make it a good choice for businesses, and its integration capabilities make it a good choice for developers.
06:55:00 Microsoft Azure is a platform that lets you easily set up your applications, manage them, and monitor them. Azure also has a low cost to set up and a fair learning curve. Azure offers on-demand Container services, which make it easy to build your applications. Azure also has application monitoring to keep track of your data.
This video provides an overview of Azure, discussing its various features and benefits. It also covers the different types of subscriptions, pricing structures, and how to use Azure virtual machines.
07:00:00 This video explains the different types of services that can be offered through Microsoft Azure, including infrastructure as a service (IaaS), platform as a service (Pas), and software as a service (SAS).
07:05:00 In this video, Edureka instructor James shows how Azure, Microsoft's cloud platform, can be used for a variety of purposes, from hosting a website to deploying a business application. He also discusses the different cloud deployment models and how hybrid clouds combine both public and private clouds.
07:10:00 This video discusses Azure, a cloud provider, and its various services. Azure is a newer service and has a new architectural model. Roles are used to manage resources and to execute background processes.
07:15:00 The video discusses Azure, focusing on the different ways that Azure can be used, including as a web portal, virtual machines, and data storage. It explains the difference between skill sets and availability sets, and provides a brief description of a break fix.
07:20:00 In this quickfix video, the presenter discusses the Azure full course, which is designed to teach users about Microsoft Azure in eight hours. The main points covered include how Azure Active Directory works, account lockout strategy, and how to use pre-integrated applications on-premises with Azure AD.
07:25:00 In this 8-hour video course, you'll learn about Azure's virtual networks, clouds, and applications. You'll also learn about subscription administrators and directory administrators, and the differences between them. You'll also learn about scale limits for customers using managed disks, and how to use service bus cues and storage cubes.
07:30:00 In this video, Edureka's Azure expert explains the different types of Azure subscriptions and their pricing structures. He also explains how Azure virtual machines work, and how to price software using Azure.
07:35:00 This video provides a quick overview of the job market for cloud engineers, discussing trends in salaries and job postings. It also provides an image of the global spend on cloud computing.
07:40:00 The cloud computing is booming, and as a result, the demand for skilled Cloud engineers is high. Cloud engineers typically earn around $170,000 per year, and the three most popular states for Cloud engineers to work in are Maharashtra, Karnataka, and Tamil Nadu.
07:45:00 Cloud computing is a way of using technology to allow people to access computer resources from anywhere. Cloud engineers need to know computing fundamentals and how to use networking to build and run applications. They also need to be skilled in computer security.
07:50:00 A cloud engineer is responsible for designing and deploying applications to the cloud, as well as ensuring that the applications are scalable, fault tolerant, and reliable. Cloud developers need to have strong programming skills and knowledge of one high-level programming language.
07:55:00 This video discusses the responsibilities of a cloud engineer, including understanding different service providers, coding, testing, and building pipelines. It also covers security essentials, eating, and networking.