Overview

In this course, students will 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. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will explore the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

Audience profile

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.

Job role: Data Engineer, Database Administrator

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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 visualizing data using charts.
  • A willingness to learn through hands-on exploration.
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Delegates will learn how to

Skills gained

  • Describe core data concepts in Azure
  • Explain concepts of relational data in Azure
  • Explain concepts of non-relational data in Azure
  • Identify components of a modern data warehouse in Azure
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Outline

Module 1: Explore core data concepts
Students will 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. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.

Lessons

  • Explore core data concepts
  • Explore roles and responsiblities in the world of data
  • Describe concepts of relational data
  • Explore concepts of non-relational data
  • Explore concepts of data analytics

After completing this module, students will be able to:

  • Show foundational knowledge of cloud data services within Azure
  • Identify and describe core data concepts such as relational, non-relational, big data, and analytics
  • Explain how this technology is implemented with Azure

Module 2: Explore relational data in Azure
Students will 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. Students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.

Lessons

  • Explore relational data offerings in Azure
  • Explore provisioning and deploying relational database offerings in Azure
  • Query relational data in Azure

After completing this module, students will be able to:

  • Describe relational data offerings on Azure
  • Explain provisioning and deploying relational databases on Azure
  • Query relational data through cloud data solutions in Azure

Module 3: Explore non-relational data in Azure
Students will 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 Azure. Students will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.

Lessons

  • Explore non-relational data offerings in Azure
  • Explore provisioning and deploying non-relational data services on Azure
  • Manage non-relational data stores in Azure

After completing this module, students will be able to:

  • Describe non-relational data offerings on Azure
  • Explain provisioning and deploying non-relational databases on Azure
  • Decribe non-relational data stores on Azure

Module 4: Explore modern data warehouse analytics in Azure
Students will 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 Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

Lessons

  • Examine components of a modern data warehouse
  • Explore data ingestion in Azure
  • Explore data storage and processing in Azure
  • Get started building with Power BI

After completing this module, students will be able to:

  • Describe processing options available for building data analytics solutions in Azure
  • Describe Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
  • Explain what Microsoft Power BI is, including its building blocks and how they work together
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Why choose QA

Dates & Locations

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Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

How do QA’s virtual classroom courses work?

Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.

We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.

Learn more about our Virtual Classrooms.

How do QA’s online courses work?

QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

Learn more about QA’s online courses.

When will I receive my joining instructions?

Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.

When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

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