Expected Outcomes Hadoop Basics You will learn a fundamental understanding of the Hadoop Ecosystem and 3 main building blocks. This module will prepare you to start learning Big Data in Azure Cloud using HDInsight. Microsoft Azure HDInsight You will learn what are the challenges with Hadoop and how HDInsight solves these challenges. You will also learn Cluster types, HDInsight Architecture, and other important aspects of Azure HDInsight. You will also go through demo where we’ll fetch data from Data Lake, process it through Hive, and later will store data in SQL Server. We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it through Hive, and later will store data in SQL Server. Intended Audience Beginners in Microsoft Azure Platform Microsoft Azure Data Engineers Microsoft Azure Data Scientist Database and BI developers Database Administrators Data Analyst or similar profiles On-Premises Database related profiles who want to learn how to implement Hadoop components in Azure Cloud. Anyone who is looking forward to starting his career as an Azure Data Engineer. Level Beginners (100) " if you are already experienced and working on these technologies, this may not be the best course for you." Prerequisites Basic T-SQL and Database concepts Language English If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course. What's inside Video lectures, PPTs, Demo Resources, Quiz, Assignment, other important links Full lifetime access with all future updates Certificate of course completion 30-Day Money-Back Guarantee Some students Feedback One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna

DevOps blurs the lines between Development and Operations, when harmonized with Agile practices. It addresses good practices for delivering world class solutions. VSTS and TFS can help you plan and code your application, now it's time to start looking at how to set up continuous integration, deployment, testing, monitoring, delivery, and all of the essential elements of DevOps and OpsDev. If you're a DevOps professional who wants to learn how to implement leading DevOps processes within Visual Studio Team Services and Team Foundation Server 2018, then this Learning Path is for you. This comprehensive 2-in-1 course offers you an in-depth introduction to the DevOps processes with Visual Studio Team Services (VSTS) and Team Foundation Server 2018 with all of its essential elements, explores the concepts of scaling enterprise agile, and gives you a comprehensive guide to planning your continuous delivery pipeline. You will learn how to build, configure, and deploy in code. You will also learn how to get insights of your application to monitor and measure it in real time. This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. In the first course, WinOps - DevOps on the Microsoft Azure Stack: VSTS and TFS 2018 , you will delve into real-world leading approaches to plan your solution delivery with the Visual Studio Team Services (VSTS) and Team Foundation Server 2018. You will work on learning how to use VSTS and TFS to visualize your backlogs, manage work items, manage the defect lifecycle, and make sure that the whole process can be easily followed by everyone within your organization. You will also get to know how Kanban and Lean are essential for an optimized DevOps process and continuous improvement. With the help of this course, implement Kanban and Lean to manage your work in process (WIP). This course, makes you comfortable with dashboards and queries, which play an important role within every successful DevOps implementation, representing how to measure and monitor business value delivered. You will learn to set up dashboards to provide a window into what is happening across the portfolio, project and team levels. Alerts and notifications will then help you implement enterprise collaboration (ChatOps) within your organization. Learn to create alerts, notifications and integrate external applications such as Slack and Microsoft Teams. Finally, work on customizing the processes on VSTS and TFS, work items, fields and workflow states along with advanced configuration options to make sure that the process you have is best suited for your team needs. In the second course, WinOps – Continuous Delivery with Azure , you will start by looking at the vNext build system. You'll learn how to create build definitions, configuration as code (YML) for your needs, and use hosted or private agents to make sure you have all the prerequisites available to build your containerized platforms. After that, you'll extend your pipeline by autonomous deployment capabilities. You'll see how to create the deployment pipeline across different environments, all while making sure that the necessary approvals and checks are in place. Adding continuous testing is the next step. You’ll learn how to add automation to both your build and release step. You'll also look at using Azure to run automated (UI/API) and performance engineering load tests. Another important step in implementing your DevOps process is continuous insight through monitoring. Application Insights is an Artificial Intelligent enabled Microsoft’s solution when it comes to monitoring your applications. You will also see how Intelligent Automation (IA) through Robotic Process Automation (RPA) can help you detect problems in your application and how it can be utilized them to achieve continuous delivery. By the end of this Learning Path, you will be able to implement leading DevOps processes within Visual Studio Team Services and Team Foundation Server 2018. Meet Your Expert(s): We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: Jonathon Wright is a strategic thought leader and distinguished technology evangelist. He specializes in emerging technologies, intelligent automation and cognitive adoption (deep learning), and has more than 20 years of international commercial experience within global organizations. He is currently the CTO for Digital-Assured based in Oxford in the UK, advocacy board director for various non-profit organization such as Vivit-Worldwide and is a representative of the European Commission on the topic of Artificial Intelligence (AI). Jonathon combines his practical experience and leadership with real-world insights behind the core principles and practices underpinning Enterprise AI, Smart Cities (IoT / C2X & I2X) and Robotic Process Automation (RPA). Thus, he is frequently in demand as a keynote speaker at international conferences such as TED, Gartner, Oracle, AISummit, Unicom, EuroSTAR, STAREast, and STARWest. Jonathon is the author of several award-winning books.

VSTS and TFS can help you plan and code your application, now it's time to start looking at actually deploying your application in test and production environments. This video course shows you how to set up continuous integration, deployment, testing, monitoring and delivery and all of the essential elements of DevOps and OpsDev. We'll start by looking at the vNext build system. You’ll learn how to create build definitions, configuration as code (YML) for your needs, and use hosted or private agents to make sure you have all the prerequisites available to build your containerized platforms. After that, you'll extend your pipeline by autonomous deployment capabilities. You'll see how to create the deployment pipeline across different environments, all while making sure that the necessary approvals and checks are in place. Adding continuous testing is the next step. You’ll learn how to add automation to both your build and release step. You'll also look at using Azure to run automated (UI/API) and performance engineering load tests. Another important step in implementing your DevOps process is continuous insight through monitoring. Application Insights is an Artificial Intelligent enabled Microsoft’s solution when it comes to monitoring your applications. You will also see how Intelligent Automation (IA) through Robotic Process Automation (RPA) can help you detect problems in your application and how it can be utilized them to achieve continuous delivery. About the Author Jonathon Wright is a strategic thought leader and distinguished technology evangelist. He specializes in emerging technologies, intelligent automation and cognitive adoption (deep learning), and has more than 20 years' of international commercial experience within global organizations. He is currently the CTO for Digital-Assured based in Oxford in the UK, advocacy board director for various non for profit such as Vivit-Worldwide and is a representative of the European Commission on the topic of Artificial Intelligence (AI). Jonathon combines his practical experience and leadership with real-world insights behind the core principles and practices underpinning Enterprise AI, Smart Cities (IoT / C2X & I2X) and Robotic Process Automation (RPA). Thus, he is frequently in demand as a keynote speaker at international conferences such as TED, Gartner, Oracle, AISummit, Unicom, EuroSTAR, STAREast, and STARWest. Jonathon is the author of several award-winning books.

Cloud Computing has changed the way you look at and understand the IT infrastructure. Microsoft Azure is Microsoft’s public cloud computing platform. It provides a range of cloud services, including those for compute, analytics, storage, and networking. You can pick and choose from these services to develop and scale new applications, or run existing applications, in the public cloud. If you wish to dive into cloud development and management to design, configure, and build your cloud-based infrastructure using various services offered by Microsoft Azure, then go for this Learning Path. This  comprehensive 3-in-1 course  equips you with the practical know-how of managing various Azure Services for effective business over the cloud. You will be taken through the core of Infrastructure as a Service (IaSS) with Microsoft Azure to leverage different services offered by it. You will then learn different hybrid solutions used in Azure to build your own fully functional hybrid cloud management with Operations Management Suite. You will also master Azure services to build Platform as a Service (PaaS) cloud wherein you will be able to configure your web and API applications, and manage and test application performance. Finally, you will learn to make use of Database as a Service (DaaS) to know about the various databases with Azure. This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Infrastructure as a Service Solutions with Azure , starts off with an introduction to the core of Infrastructure as a Service with Microsoft Azure, and equips you with the practical know how to manage various Azure Services for effective business over the cloud. You will then dive into Subscription and Resource Management in Azure, and learn to work with various resource groups and policies through the Azure Portal. You will also explore Azure Storage services, and employ various storage options for your virtual machines that work best for your business. Next, you will learn Azure Networking, set up your virtual networks, control network traffic with the help of Azure Traffic Manager and Security Groups, and host your domain name server with Azure DNS. Finally, you will learn to leverage Azure Compute, work with Azure Virtual Machines, and download specialized virtual machines from the Azure Marketplace as per your business requirements. In the second course, Hybrid Operational Management with Azure ,  you will explore different hybrid solutions using Azure, learn to simplify your cloud deployment with Azure stack, and host resources on the cloud with Microsoft OMS. You will then dive into OMS recovery services, work with different Azure Backup policies and types, and also disaster recovery with Azure Site Recovery. You will work with OMS Automation and Configuration Management, and automate and run your cloud with the help of Azure Automation runbooks. Next, you will learn to analyze your project logs and report any failures with the help of different custom logging and alert management solutions. Finally, you will get ready to set up, manage, and monitor your hybrid cloud performance with Microsoft Azure and Operations Management Suite. The third course, Azure Platform as a Service – Web and API Application Deployment , starts off by exploring Azure App Services and explaining you how to work with supported application types based on different parameters such as languages and functions. You will then learn to configure, publish, secure, and analyze your application APIs with Azure API management. You will also learn to leverage Database as a Service in Azure, and work with different options for database management and also different types of databases such as MySQL and PostgreSQL. Next, you will learn to develop NoSQL databases with the help of Azure Table Storage. Finally, you will delve into Data Processing as a Service, and learn how to create custom searches for your application, enable messaging between applications and services, and work with data using Azure Data Factory and Azure Data Catalog. By the end of this Learning Path, you will be able to design, configure, and build your cloud-based infrastructure using various services offered by Microsoft Azure. Meet Your Expert(s): We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: Brian Christopher Harrison has been involved with Microsoft Azure since 2012, and is currently a Cloud Solutions Architect at Microsoft. He has been involved in Microsoft training, has actively blogged and spoke about Azure on Microsoft's site, and also has his own screencasts.

Microsoft has recently launched BaaS (Blockchain-as-a-Service) for developers to build DApp (Decentralized Applications) quickly. So now rather than setting up your own Blockchain on Azure platform you can just launch the Blockchain with a click. This course will help you understand what is BaaS exactly, how it can help you building decentralized apps faster. We will also talk about different types of servers available in Azure for launching the Blockchain. After this course you will fully understand what BaaS is & why Microsoft has chosen Ethereum platform to setup the Blockchain quickly. This course is the best course for you if you don't want to waste your time & money on other platform & are very comfortable with Azure. Amazon is already working for launching the BaaS & will soon announce it for developers.

These days it's extremely hard for the non-professional traders to be profitable. Large financial organizations invest millions in data centers and computer algorithms that trades on the market and reacts to changes within milliseconds. However to be profitable for an individual trader no need to be the best trader on the market. It' is good enough to be better than average. Being an IT pro I've noticed that most of the non-professional traders are not aware of the possibilities that competing software giants like Amazon, Google, Microsoft give away to extremely low prices or even for FREE. Cloud computing services is one of them. Sure thing Microsoft Azure wasn't developed for non-professional traders in mind. Azure is complex, it consists of hundreds of services but doesn't be scared we need just a few of them and we are going to use just a small set of those features that we benefit. In this course, I will provide you with simple, step-by-step instructions and you really can apply them just after the lecture. Various tips & tricks will save you time. Don't miss the great opportunity that free tier from Microsoft Azure gives you away today. Every video-lesson has Q&A section and I will be more than happy to help you out if you have difficulties in understanding the lesson or applying it in your account. Looking forward to seeing you as the student!

Azure Cognitive Services helps you build smart, secure, and more efficient models for your business needs. Data dependency has gradually increased over the past few years; every business is looking to utilize its available data to create more optimized solutions. Azure Cognitive Services will help you detect, moderate, and classify visual data as per your needs. In this course, you will learn how to configure Cognitive Services and use its vision capabilities to describe, tag, and categorize images; identify clip art as opposed to line art; moderate content; read text and handwriting; and recognize facial characteristics such as age, gender, emotions, hair color and type, and more. You will also learn how to build a facial recognition program that can recognize people in images by comparing them to a library of known individuals. By the end of this course, you will be confident enough to use face, text, image recognition, and image classification to help you build your own business with Azure Cognitive Services. About the Author: Peter Rombouts is a Multi Cloud Solution Architect with a strong focus on the Microsoft Azure platform, supporting enterprise organizations in the Netherlands as consultant, lead developer, and architect. He focuses on architecting and designing maintainable, future-proof, and resilient platforms and systems, leveraging the latest and greatest services on the Azure platform. He has led projects using a variety of cognitive services, from LUIS in Chabot's to the Vision API for the custom tagging and recognition of images in a manufacturing project.

This course shows you step-by-step how to use Azure Building Blocks to deploy your Node .js microservice-based apps to the cloud. You will start with what cloud-native applications are and their benefits. You will also learn about the crucial reasons for developing a Node .js app and deploying it on Azure. Then you will understand different Azure services, highlight Azure building blocks used by Node .js apps, and deploy your Node .js applications on the Azure Cloud platform. Finally, you will monitor and troubleshoot your Node .js applications with Azure App Insights. By the end of the course, you will have mastered building an application in Node .js that's based on microservices, deploying it on the Azure Cloud platform, and monitoring and troubleshooting it with Azure App Insights. About the Author Peter De Tender is the CEO and Lead Technical Trainer at PDTIT and 007FFF Learning, a Microsoft Cloud Platform Architect, an extremely passionate trainer and speaker, Azure MVP (2013-2018), Microsoft Certified Trainer (MCT), and a technical writer. After starting his career in 1996, Peter has never looked back from Microsoft infrastructure technologies. At present, he’s an expert on Azure and Azure Stack, coaching global Microsoft Partners, larger Microsoft customers, and Microsoft FTE teams all over the World so they can achieve more with Azure. While this got him a position as FTE for Microsoft Corp in the global Microsoft AzureCAT GSI (Azure Engineering) team early in 2016, his passion for speaking and presenting made him decide to return to his own company after about a year, coming back with an even stronger focus on providing readiness workshops and architect consulting on the Azure platform. When Peter is not speaking or presenting, he authors Azure-related white papers and courses for Microsoft as well as several other training companies in the IT industry or updates his own custom Azure advanced training material. He recently published Learning Operations Management Suite with Apress, co-authored the Microsoft Official Curriculum for the 70-535 Architecting Azure Solutions, and is currently writing Azure Governance and Security for Apress, as well as authoring a series of advanced Azure training videos for Packt Publishing.

In the past decade, cloud computing has been gaining popularity at a tremendous rate. Some cloud providers are experiencing a growth rate of 50% year over year – which is just astounding. And the reason for this growth is obvious – cloud computing enables ubiquitous, convenient, on-demand access to a shared pool of configurable computing resources which can be rapidly provisioned and released with minimal effort. Microsoft Azure is a cloud computing platform that offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. The Azure Resource Manager , provided by Microsoft Azure , is a versatile service that simplifies how you manage your cloud resources. The Azure Resource Manager can help you define, build and maintain your application in a consistent manner. Within the context of Azure Stack, the Azure Resource Manager is the management layer (API) where you connect to for deploying resources. With Azure Resource Manager ( ARM ) you can deploy, delete, or update all resources for your solution in a single and coordinated operation by using templates. The templates are in the form of JSON format, and these templates can be used for deployment in different environments such as staging, testing, and production. The Resource Manager helps in providing auditing, security, and tagging features to help you manage your resources post-deployment. Although we have the Azure portal for managing the resources but in cases where you need to maintain and deploy multiple servers, in complex configurations - it might get a cumbersome to handle these deployment and configuration activities via the point and click portal. Moreover remembering every resource category and their respective cost evaluation can become a mammoth task. As companies look forward to automating deployment, scaling, and operations of cloud applications in the Azure cloud (across clusters of hosts), there is a need for providing automated deployment solutions for the cloud infrastructure. With Azure ARM Templates , you can define your infrastructure environment in simple JSON file template. These file templates can be versioned, validated and checked into your source control systems. This is what we call Infrastructure-as-code ( IaC ). Do you know what it takes to design and deploy sophisticated cloud applications and manage your complex infrastructure via the use of ARM templates ? How does one go about automating the configuration of the cloud resources in the Azure cloud environment? How to make the deployment process consistent and repeatable? How to scale the infrastructure with a simple push of a button or a simple command? These are some of the fundamental problems Cloud and DevOps engineers struggle with on a daily basis. This course teaches you how to design, deploy, configure and manage your Azure cloud resources with Azure ARM Templates . The course will start with an introduction to the Azure ARM templates and their core features. Then we will dive deeper into designing and deploying our cloud resources with the use of these templates. If you’re serious about building scalable, flexible and robust Azure ARM Templates for deploying your cloud infrastructure, then this course is for you. These DevOps and Cloud Computing skills are in high demand, but there’s no easy way to acquire this knowledge. Rather than rely on hit and trial method, this course will provide you with all the information you need to get started with your Azure cloud projects. Startups and technology companies pay big bucks for experience and skills in these technologies. They demand DevOps and cloud engineers to automate the deployment of their cloud resources  -  and in turn, you can demand top dollar for your abilities. Do you want the skills and be highly sought after? Do you want your career to touch cloud 9? Did you answer, “Absolutely” to that question? If so, then our new training program "Azure Masterclass: Manage your Azure Cloud with ARM Templates" is for you. We have been in the software industry for more than two decades. We’ve been part of many prestigious projects and startups. Over this span, we have gained great insight into what makes for flexible, scalable and robust software and IT solutions. We are passionate about sharing all our collective knowledge with YOU !! In this course, “ Azure Masterclass: Manage your Azure Cloud with ARM Templates” , you will get an in-depth look at how to utilize Azure ARM Templates for designing and deploying your Azure cloud resources in a consistent and repeatable manner. You may be a cloud veteran or an enthusiast - if you invest your time and bring an eagerness to learn, we guarantee you real, actionable education at a fraction of the cost you can demand as a cloud engineer or consultant. We are confident your investment will come back to you many-fold in no time. So, if you're ready to make a change and learn how to build some cool ARM Templates in the cloud, click the "Add to Cart" button below. Look, if you're serious about becoming an expert cloud engineer and generating a significant income for you and your family, it’s time to take action. Imagine getting that promotion which you’ve been promised for the last two presidential terms. Imagine getting chased by recruiters looking for skilled and experienced engineers by companies that are desperately seeking help. We call those good problems to have

As the old adage says: information is power For some time now, and with the boom of the Internet and social media, data is playing an increasingly bigger role in all organizations, which are continuously looking for solutions that will enable to capture data from different internet sources and analyze it in an as close to real-time rate as possible. This has caused organizations to invest in building solutions that not only can obtain and review data in depth and in real-time, but also save time in scheduling recurrent tasks and integrate with other systems seamlessly, allowing for scalability and availability while minimizing faults and latency. Having the right information in time is a now a critical aspect to making strategic business decisions.This is where Azure Stream Analytics comes in, to provide an effective solution to this business need. Azure Stream Analytics , or ASA , is an independent, cost-effective, and near real-time processing agent that enables you to view and explore streaming data at a high-performance level. Using this portal, you can set up data streaming computations from devices, sensors, web sites,  social media, applications, infrastructure systems, and more with just a few clicks. Do you know what it takes to design and deploy sophisticated data analytics pipelines which can transform data into actionable insights and predictions in near real-time? How does one go about scaling this data analysis infrastructure? How to Easily develop and run massively parallel real-time analytics on multiple IoT or non-IoT streams of data using simple SQL like language.? These are some of the fundamental problems data analysts and data scientists struggle with on a daily basis. This course teaches you how to design, deploy, configure and manage your real time scalable data analytics in the Azure cloud resources with Azure Stream Analytics . The course will start with basics of ASA and query setup, and then moves deeper into details about ASA and its other integrated services so you can make the most out of the functionalities you have available in this tool. If you’re serious about building scalable, flexible and robust data analytics With no infrastructure to manage, where you can process data on-demand, scale instantly, and only pay per job, then this course is for you. These data analytics and Cloud Computing skills are in high demand, but there’s no easy way to acquire this knowledge. Rather than rely on hit and trial method, this course will provide you with all the information you need to get started with your Azure data analytics projects. Startups and technology companies pay big bucks for experience and skills in these technologies. They demand data engineers to provide them real time actionable analysis -  and in turn, you can demand top dollar for your abilities. Do you want the skills and be highly sought after? Do you want your career to touch cloud 9? Did you answer, “ Absolutely ” to that question? If so, then our new training program " Azure Masterclass: Analyze your data with Azure Stream Analytics " is for you. Look, if you're serious about becoming an expert data engineer and generating a significant income for you and your family, it’s time to take action. Imagine getting that promotion which you’ve been promised for the last two presidential terms. Imagine getting chased by recruiters looking for skilled and experienced engineers by companies that are desperately seeking help. We call those good problems to have