DP-201: Designing an Azure Data Solution

  

 

Duración: 10 horas lectivas

Detalles

 

 

Requisitos previos

Before attending this course, students must have:

Objetivos

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.

Ubicación

Presencial en Madrid y Barcelona.
Disponibles también en Online Direct

Temario

Module 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

Module 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

Module 3: Azure Real-Time Reference Architectures

  • 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

Module 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

Module 5: Designing for Resiliency and Scale

  • 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

Module 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

Gadesoft Madrid

C/Clara del rey, 14
28002 Madrid, Spain
Tfno: 91 510 23 90
 info@gadesoft.com

Gadesoft Barcelona

Carrers del Madrazo, 27 - 2º 4ª
08006 Barcelona
Tfno: 93 368 0087