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4 dager 20 000 kr
This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data War... [+]
About this course This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.     Audience profile The primary audience for this course is data engineers (IT professionals, developers, and information workers) who plan to implement big data engineering workflows on Azure.     At course completion After completing this course, students will be able to: Describe common architectures for processing big data using Azure tools and services. Describe how to use Azure Stream Analytics to design and implement stream processing over large-scale data. Describe how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job. Describe how to use Azure Data Lake Store as a large-scale repository of data files. Describe how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store. Describe how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs. Describe how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest. Describe how to use Azure SQL Data Warehouse to perform analytical processing, how to maintain performance, and how to protect the data. Describe how to use Azure Data Factory to import, transform, and transfer data between repositories and services. [-]
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5 dager 20 000 kr
  About this course The main purpose of the course is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an int... [+]
  About this course The main purpose of the course is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning with big data tools such as HDInsight and R Services.   Audience profile The primary audience for this course is people who wish to analyze and present data by using Azure Machine Learning. The secondary audience is IT professionals, Developers , and information workers who need to support solutions based on Azure machine learning.   At course completion After completing this course, students will be able to: Explain machine learning, and how algorithms and languages are used Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio Upload and explore various types of data to Azure Machine Learning Explore and use techniques to prepare datasets ready for use with Azure Machine Learning Explore and use feature engineering and selection techniques on datasets that are to be used with Azure Machine Learning Explore and use regression algorithms and neural networks with Azure Machine Learning Explore and use classification and clustering algorithms with Azure Machine Learning Use R and Python with Azure Machine Learning, and choose when to use a particular language Explore and use hyperparameters and multiple algorithms and models, and be able to score and evaluate models Explore how to provide end-users with Azure Machine Learning services, and how to share data generated from Azure Machine Learning models Explore and use the Cognitive Services APIs for text and image processing, to create a recommendation application, and describe the use of neural networks with Azure Machine Learning Explore and use HDInsight with Azure Machine Learning Explore and use R and R Server with Azure Machine Learning, and explain how to deploy and configure SQL Server to support R services [-]
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4 dager 16 000 kr
This course is intended for students who have experience building ASP.NET and C# applications. Students will also have experience with the Microsoft Azure platform and a ... [+]
About this course This course is intended for students who have experience building ASP.NET and C# applications. Students will also have experience with the Microsoft Azure platform and a basic understanding of the services offered.   This course offers students the opportunity to take an existing ASP.NET MVC application and expand its functionality as part of moving it to Azure. This course focuses on the considerations necessary when building a highly available solution in the cloud. This course also prepares the students for the 70-532: Developing Microsoft Azure Solutions certification exam.   Audience profile The candidates targeted by this training have basic experience in implementing and monitoring Microsoft Azure solutions. Candidates are also proficient with the development tools, techniques, and approaches used to build application solutions.   At course completion After completing this course, students will be able to: Compare the services available in the Azure platform. Configure and deploy web applications. Creating Azure Web Apps from the gallery. Deploying and monitoring Azure Web Apps. Creating and configuring Azure Virtual Machines. Create and manage a storage account. Manage blobs and containers in a storage account. Create, configure and connect to a SQL Databases instance. Identify the implications of importing a SQL standalone database. Manage users, groups and subscriptions in an Azure Active Directory instance. Create a virtual network. Implement a point-to-site network.   [-]
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2 dager 8 000 kr
This course provides the underlying knowledge required by all individuals who will be evaluating Microsoft Azure, regardless of whether they are an administrator, develop... [+]
About this course This course provides the underlying knowledge required by all individuals who will be evaluating Microsoft Azure, regardless of whether they are an administrator, developer, or database administrator. This course also provides the pre-requisite knowledge for students wishing to attend course 20532C Developing Microsoft Azure Solutions, or course 20533C Implementing Microsoft Azure Infrastructure Solutions.   During this course, students will be introduced to the principles of cloud computing and will become familiar how these principles have been implemented in Microsoft Azure. In addition, this course will take students through the process of implementing the core Azure infrastructure, consisting of virtual networks and storage. With this foundation, students will learn how to create the most common Azure services, including Azure virtual machines (VMs), Web Apps, and SQL Databases. The course will conclude by describing features of Azure Active Directory (Azure AD) and methods of integrating it with on-premises Active Directory.   Audience profile This course is intended for individuals who want to evaluate deploying, configuring, and administering services and VMs using Azure, including: Developers who want to evaluate creating Azure solutions. Windows Server administrators who are looking to evaluate the migration of on-premises Active Directory services and roles to the cloud. IT professionals who want to evaluate the use of Azure to host web sites and mobile app back-end services. Database administrators who want to evaluate the use of Azure to host SQL databases.   At course completion After completing this course, students will be able to: Describe cloud computing, Azure, and Azure subscriptions. Describe and create Azure Web Apps. Create and configure VMs in Microsoft Azure. Create an Azure virtual network. Describe Azure storage. Describe and deploy databases in Azure. Describe Azure AD. [-]
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