Designing an Azure Data Solution DP-201T01Posted by MichealH Alexander on February 6th, 2021 In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, No-SQL or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. Designing an Azure Data Solution course DP-201 The students will also explore how to design data security including data access, data policies and standards. They will also design Azure data solutions which includes the optimization, availability and disaster recovery of big data, batch processing and streaming data solutions. Azure for SAP Workloads Specialty Course Outline Module 1: Data Platform Architecture Considerations In this module, the students will learn how to design and build secure, scalable and performant solutions in Azure by examining the core principles found in every good architecture. They will learn how using key principles throughout your architecture regardless of technology choice, can help you design, build, and continuously improve your architecture for an organizations benefit. Lessons Core Principles of Creating Architectures Design with Security in Mind Performance and Scalability Design for availability and recoverability Design for efficiency and operations Case Study Lab : Case Study Design with security in mind Consider performance and scalability Design for availability and recoverability Design for efficiency and operations After completing this module, students will be able to: Design with Security in mind Consider performance and scalability Design for availability and recoverability Design for efficiency and operations Module 2: Azure Batch Processing Reference Architectures In this module, the student will learn the reference design and architecture patterns for dealing with the batch processing of data. The student will be exposed to dealing with the movement of data from on-premises systems into a cloud data warehouse and how it can be automated. The student will also be exposed to an AI architecture and how the data platform can integrate with an AI solution. Lessons Lambda architectures from a Batch Mode Perspective Design an Enterprise BI solution in Azure Automate enterprise BI solutions in Azure Architect an Enterprise-grade Conversational Bot in Azure Lab : Architect an Enterprise-grade Conversational Bot in Azure Designing an Enterprise BI solution in Azure Automate an Enterprise BI solution in Azure Automate an Enterprise BI solution in Azure After completing this module, students will be able to: Core Principles of Creating Architectures Describe Lambda architectures from a Batch Mode Perspective Design an Enterprise BI solution in Azure Automate enterprise BI solutions in Azure Architect an Enterprise-grade conversational bot in Azure Case study Module 3: Azure Real-Time Reference Architectures In this module, the student will learn the reference design and architecture patterns for dealing with streaming data. They will learn how streaming data can be ingested by Event Hubs and Stream Analytics to deliver real-time analysis of data. They will also explore a data science architecture the streams data into Azure Databricks to perform trend analysis. They will finally learn how an Internet of Things (IoT) architecture will require data platform technologies to store data. Lessons Lambda architectures for a Real-Time Perspective Architect a stream processing pipeline with Azure Stream Analytics Design a stream processing pipeline with Azure Databricks Create an Azure IoT reference architecture Lab : Azure Real-Time Reference Architectures Architect a stream processing pipeline with Azure Stream Analytics Design a stream processing pipeline with Azure Databricks Create an Azure IoT reference architecture After completing this module, students will be able to: Lambda architectures for a Real-Time Mode Perspective Architect a stream processing pipeline with Azure Stream Analytics Design a stream processing pipeline with Azure Databricks Create an Azure IoT reference architecture Module 4: Data Platform Security Design Considerations In this module, the student will learn how to incorporate security into an architecture design and learn the key decision points in Azure provides to help you create a secure environment through all the layers of your architecture. Lessons Defense in Depth Security Approach Identity Management Infrastructure Protection Encryption Usage Network Level Protection Application Security Lab : Data Platform Security Design Considerations Defense in Depth Security Approach Identity Protection After completing this module, students will be able to: Defense in Depth Security Approach Identity Management Infrastructure Protection Encryption Usage Network Level Protection Application Security Module 5: Designing for Resiliency and Scale In this module, student will learn scaling services to handle load. They will learn how identifying network bottlenecks and optimizing your storage performance are important to ensure your users have the best experience. They will also learn how to handle infrastructure and service failure, recover from the loss of data, and recover from a disaster by designing availability and recoverability into your architecture. Lessons Adjust Workload Capacity by Scaling Optimize Network Performance Design for Optimized Storage and Database Performance Identifying Performance Bottlenecks Design a Highly Available Solution Incorporate Disaster Recovery into Architectures Design Backup and Restore strategies Lab : Designing for Resiliency and Scale Adjust Workload Capacity by Scaling Design for Optimized Storage and Database Performance Design a Highly Available Solution Incorporate Disaster Recovery into Architectures After completing this module, students will be able to: Adjust Workload Capacity by Scaling Optimize Network Performance Design for Optimized Storage and Database Performance Identifying Performance Bottlenecks Design a Highly Available Solution Incorporate Disaster Recovery into Architectures Design Backup and Restore strategies Module 6: Design for Efficiency and Operations In this module, students will learn how to design an Azure architecture that is operationally-efficient and minimizes costs by reducing spend, they will understand how to design architectures that eliminates waste and gives them full visibility into what is being utilized in your organizations Azure environment. Lessons Maximizing the Efficiency of your Cloud Environment Use Monitoring and Analytics to Gain Operational Insights Use Automation to Reduce Effort and Error Lab : Design for Efficiency and Operations Maximize the Efficiency of your Cloud Environment Use Monitoring and Analytics to Gain Operational Insights Use Automation to Reduce Effort and Error After completing this module, students will be able to: Maximize the Efficiency of your Cloud Environment Use Monitoring and Analytics to Gain Operational Insights Use Automation to Reduce Effort and Error Like it? Share it! More by this author |