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Designing an Azure Data Solution


Designing an Azure Data Solution

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, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. 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. 


Objetivos

After the training course the students will be able to: 

  • Design Azure data storage solutions 
  • Design data processing solutions 
  • Design for data security and compliance 
  • Design for high availability and disaster recovery 

Perfil de los alumnos

The audience for this course is Data Professionals, Data Architects, and Business Intelligence Professionals who want to learn about the data platform technologies that exist on Microsoft Azure. The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure. 


Requisitos previos

In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses: 


Profesorado

Our team of highly qualified instructors combine training activities with the development of their profession as experts in the field of IT. Professionals certified by the major manufacturers capable of transferring an enjoyable and easy to understand technical concepts more abstract. 


Documentación

A copy of the official Microsoft documentation. 


Contenidos del Designing an Azure Data Solution

1. Data Platform Architecture considerations 

  • 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 

2. Azure Batch Processing Reference Architectures 

  • 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 

3. Azure Real-Time Reference Architectures 

  • Lambda architectures for a Real-Time Perspective 
  • Lambda architectures for a Real-Time Perspective 
  • Design a stream processing pipeline with Azure Databricks 
  • Create an Azure IoT reference architecture 
  • Lab: Azure Real-Time Reference Architectures 

4. Data Platform Security Design Considerations 

  • Defense in Depth Security Approach 
  • Identity Management 
  • Infrastructure Protection 
  • Encryption Usage 
  • Network Level Protection 
  • Application Security 
  • Lab: Data Platform Security Design Considerations 

5. Designing for Resiliency and Scale 

  • Adjust Workload Capacity by Scaling 
  • Optimize Network Performance 
  • Design for Optimized Storage and Database Performance 
  • Identity Performance Bottlenecks 
  • Design a Highly Available Solutions 
  • Incorporate Disaster Recovery into Architectures 
  • Design Backup and Restore strategies 
  • Lab: Designing for Resiliency and Scale 

6. Design for Efficiency and Operations 

  • 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 

Metodología

Active and participatory course through demonstrations, practical exercises and clinical analysis of users of all the theoretical topics taught by the instructor in order to deal with real cases of the related product. The trainer will also use different dynamics that allow group work in the classroom as challenges, evaluation exams and real cases to prepare for the associated Microsoft certification exam, if there is one. 


Certificaciones

Continual evaluation based on group and individual activities. The faculty will give continuous feedback and at the end of the activities to each participant 

During the course the participants will complete an evaluation test that must be passed with more than 75%. They will have one hour available for its realization.

 

Conditions of additional certification services are subject to the terms of the license owner or of the authorized certification authority. 


Acreditación

Se emitirá Certificado de Asistencia sólo a los alumnos con una asistencia superior al 75% y Diploma aprovechamiento si superan también la prueba de evaluación.


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