Designing An Azure Data Solution

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Introduction
Course Details
Course Content
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A Quick Glance

Learn how to design data solutions using Azure technologies
Prepare for the Designing an Azure Data Solution exam
Taught by Microsoft Certified Trainers
Includes official Microsoft material

Who should take this course

The course is aimed at Azure Data Engineers.

Prerequisites

There are no prerequisites to attend.

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.

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

Designing An Azure Data Solution Enquiry

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About Oxford

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History

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More about Oxford City

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