A Quick Glance

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    Learn how to design data solutions using Azure technologies

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    Prepare for the Designing an Azure Data Solution exam

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    Taught by Microsoft Certified Trainers

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    Includes official Microsoft material

Who should take this course

The course is aimed at Azure Data Engineers.

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Prerequisites

There are no prerequisites to attend.

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  Course Overview

In this course, delegates will design different data platform technologies for solutions that meet business and technical requirements. This can include local, cloud, and hybrid data scenarios that incorporate relational, no-SQL, or data warehouse data. You will also learn how to design process architectures using a range of streaming and batch data technologies.

It will explore how to design data security, including data access, data policies and standards, and develop Azure data solutions that include optimisation, availability, and disaster recovery of big data, batch processing, and streaming data solutions. In this course, delegates will learn about lambda architecture. They will also learn how to design a stream processing pipeline with azure databricks.

This role-based course prepares you for certification as an Azure Data Engineer.

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  Course Content

Module 1: Architecture of The Data Platform

  • Basic Principles of Architectural Development
  • Design with a View to Safety
  • Performance and Scalability
  • Design for Availability and Recoverability
  • Design for Efficiency and Operation
  • Case Study

Module 2: Azure Batch Processing Reference Architectures

  • Lambda Architectures from The Perspective of Batch Mode
  • Design of an Enterprise BI Solution in Azure
  • Automation of Enterprise BI Solutions in Azure
  • Development of an Enterprise-level Conversation Bot in Azure

Module 3: Azur Real-Time Reference Architectures in Real-Time

  • Lambda Architectures for a Real-Time Perspective
  • Designing a Stream Processing Pipeline with Azure Databricks
  • Create an Azure IoT Reference Architecture

Module 4: Security Design of the Data Platform

  • Security Approach to Defence Strategy
  • Protection at the Network Level
  • Identity Protection
  • Use of Encryption
  • Advanced Threat Protection

Module 5: Design for Flexibility and Scalability

  • Design of Backup and Recovery Strategies
  • Optimisation of Network Performance
  • Design for Optimised Storage and Database Performance
  • Integration of Disaster Recovery in Architectures
  • Design of Backup and Recovery Strategies

Module 6: Design for Efficiency and Operation

  • Maximise the Efficiency of your Cloud Environment
  • Monitoring and Analytics to gain Operational Insights.
  • Automation to Reduce Effort and Errors
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Designing An Azure Data Solution Enquiry

 

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About Oxford

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