Course Overview
The Planning and Administering Microsoft Azure for SAP Workloads course is a comprehensive instruction that introduces attendees to the Microsoft Azure platform and its integration with SAP applications. This course teaches attendees about the elements and resources involved in a successful Azure for SAP deployment as well as provides an overview of the necessary steps for successful deployment. This course will teach attendees about the different parts of an Azure environment and how to use them to move SAP landscapes over to Azure. They will also get a broad overview of the key Azure roles and what their responsibilities are in an Azure deployment. Other topics that will be covered include setting up cloud storage, provisioning a virtual machine, networking and security for Azure for SAP, analyzing cost optimization potential, and monitoring and troubleshooting of an Azure for SAP environment.
Learning Options
Target audiences
- The Operationalize Cloud Analytics Solutions with Microsoft Azure training is ideal for data engineers, architects and developers who are looking to develop, build and deploy cloud analytics solutions, such as streaming and batch processing solutions, machine learning (ML) models and serverless architectures, by using Microsoft Azure services.
- The course is designed for individuals who already have a basic understanding of cloud analytics and Azure services, as well as those who are looking to learn the best practices for working in the cloud.
- The course also caters to professionals who already have working experience with Azure and would like to extend their skills by learning how to best utilize the various services available on the platform.
Schedule Dates
Cloud-computing, Microsoft
AZ-120T00: Planning and Administering Microsoft Azure for SAP Workloads
14/08/2023
Cloud-computing, Microsoft
AZ-120T00: Planning and Administering Microsoft Azure for SAP Workloads
13/11/2023
Cloud-computing, Microsoft
AZ-120T00: Planning and Administering Microsoft Azure for SAP Workloads
12/02/2024
Cloud-computing, Microsoft
AZ-120T00: Planning and Administering Microsoft Azure for SAP Workloads
13/05/2024
Curriculum
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Module 1: Introduction
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Module 2: Foundations of SAP on Azure
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Module 3: SAP Certified Offerings on Azure
- general prerequisites (SAP support in public cloud environments)
- Deployment options of Azure for SAP workloads
- SAP product-specific support for Azure
- Operating System support of Azure for SAP workloads
- storage support of Azure for SAP workloads
- Networking support for SAP
- Database support for SAP
- High availability and disaster recovery support for SAP
- Monitoring requirements for SAP
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Lab 1
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Module 4: SAP on Azure Reference Architecture
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Module 5: Planning for Implementing SAP Solutions on Azure
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Module 6: Planning for Migrating SAP Workloads to Azure
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Module 7: Implementing Azure VM-based SAP Solutions
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Module 8: Module 8-Deploying HANA Large Instances (HLI)
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Module 9: Migrating SAP Workloads to Azure
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Lab 2
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Module 10: Maintaining SAP on Azure
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Module 11: Monitoring and Troubleshooting SAP on Azure
Yes, at the end of the course, you will receive a certificate of completion that you can share on your professional network or add to your resume. To obtain the certificate, you must complete all the required modules and pass the final assessment with a passing score. The certificate of completion demonstrates your proficiency and knowledge in operationalizing cloud analytics solutions with Microsoft Azure, which can be valuable for employers or clients who are looking for individuals with these skills.
Yes, there are several advanced courses you may consider:
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert
Developing Solutions for Microsoft Azure (AZ-204)
Implementing and Administering Microsoft Azure Cosmos DB (DP-040)
These advanced courses and certifications can help you expand your knowledge and skills in cloud analytics solutions and make you more competitive in the job market.
Cloud service providers like Microsoft Azure often provide extensive online documentation and tools. These documents can include product documentation, tutorials, code samples, and other resources to help learners understand how to use Azure for analytics.
Videos and webinars: In addition to written materials, videos, and webinars can be a valuable resource for learners to see demonstrations of how to use Azure for analytics. Hands-on labs and exercises: Hands-on exercises and labs can provide learners with the opportunity to practice using Azure for analytics in a simulated environment.
