MS/DP-201 : Designing an Azure Data Solution

2 gün (12 Saat) Orta Sınıf / Online NoSQL ve Büyük Veri

Azure üzerinde Büyük Veri, NoSQL, Veri Ambarı ve İlişkisel Veritabanları servislerinin modellenmesi ve hibrit çözümlerin bir araya getirilmesi için gerekli tekniklere odaklanılır. Mimari oluşturmanın 5 sütunu olan, güvenlik, performans, erişilebilirlik ve felaketten kurtarma, verimlilik ve operasyonların otomatize edilmesi konularına odaklanılır. "Designing an Azure Data Solution" eğitimi etkili şekilde topolojiler oluşturma, çeşitli mimari tasarımlar ve bakış açıları ortaya koyarak modern mimariler geliştirme hakkındadır. Dilerseniz bu eğitimden sonra Microsft'un DP-201 sınavına giriş yapabilir, Data Engineer olma yolunda büyük bir adım atabilirsiniz.

Eğitim İçeriği

Module 1: Data Platform Architecture Considerations

  • Lesson
    • 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

Module 2: Azure Batch Processing Reference Architectures

  • Lesson
    • 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

Module 3: Azure Real-Time Reference Architectures

  • Lesson
    • Describe 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

Module 4: Data Platform Security Design Considerations

  • Lesson
    • 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

Module 5: Designing for Resiliency and Scale

  • Lesson
    • Adjust Workload Capacity by Scaling
    • Optimize Network Performance
    • Design for Optimized Storage and Database Performance
    • Identify 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

Module 6: Design for Efficiency and Operations

  • Lesson
    • 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

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