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Microsoft Azure Data Fundamentals (DP-900) - Self-paced

  • Length 365 days
  • Price  NZD 550 exc GST
  • Inclusions Test Prep & Labs
Course overview
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Why study this course

In this self-paced course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about modern data warehousing, real-time analytics, and data visualisation.

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What you’ll learn

After completing this course, students will be able to:

  • Describe core data concepts

  • Identify considerations for relational data on Azure

  • Describe considerations for working with non-relational data on Azure

  • Describe an analytics workload on Azure


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Microsoft Azure at Lumify Work

As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level.  We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ. 


Who is the course for?

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.


Course subjects

Describe Core Data Concepts

  • Structured Data

  • Semi-Structured & Unstructured Data

  • Azure Data Storage

  • Data Storage Considerations

  • Azure Analysis Services

  • Analytical Workloads

  • Online Transaction Processing (OLTP)

Describe Considerations for Working with Non-relational Data on Azure

  • Relational & Non-Relational Databases

  • Azure Database for MySQL & PostgreSQL

  • Azure SQL Database

  • SQL Server on Azure VM

Describe an Analytics Workload on Azure

  • Azure Blob Storage

  • Azure Data Lake Storage

  • Azure File Storage

  • Azure File Shares

  • Azure Table Storage

  • Azure Cosmos DB

  • Azure Cosmos DB for MongoDB, Apache Cassandra, & Gremlin

Azure Data Services: Ingestion, Transformation, and Business Intelligence

  • Data Ingestion & Processing

  • Data Warehousing Services

  • Azure Synapse Analytics

  • Microsoft Fabric & Azure HDInsight

  • Azure Data Factory

  • Power BI for Business Intelligence

Practice Exam & Labs

  • Practice Test

  • Practice Labs


Prerequisites

Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.

Specifically:

  • Experience using a web browser, such as Microsoft Edge.

  • Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualising data using charts.

  • A willingness to learn through hands-on exploration.


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Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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