Microsoft Azure Data Fundamentals (DP-900T00)

 

Course 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.

Who should attend

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.

Certifications

This course is part of the following Certifications:

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.

Course Objectives

  • 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

Course Content

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

After completing this module, students will be able to:

  • Describe relational data services 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 services, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.

Lessons
  • Explore non-relational data services 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 services 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
Online Training

Duration 1 day

Dates and Booking
Classroom Training

Duration 1 day

Dates and Booking

Schedule

English
Time zone: Australian Eastern Daylight Saving Time (AEDT)
Online Training Time zone: Australian Eastern Daylight Saving Time (AEDT)
2 hours difference
Online Training Time zone: UTC+8
3 hours difference
Online Training Time zone: UTC+8
5 hours difference
Online Training Time zone: IST
9 hours difference
Online Training This is a FLEX course.
Time zone: British Summer Time (BST)
10 hours difference
Online Training Time zone: Central European Time (CET)
11 hours difference
Online Training This is a FLEX course.
Time zone: Greenwich Mean Time (GMT)
Online Training This is a FLEX course.
Time zone: Greenwich Mean Time (GMT)
14 hours difference
Online Training Time zone: Eastern Daylight Time (EDT) Guaranteed date!
Online Training Time zone: Eastern Daylight Time (EDT) Guaranteed date!
15 hours difference
Online Training Time zone: Central Daylight Time (CDT) Guaranteed date!
Online Training Time zone: Central Daylight Time (CDT) Guaranteed date!
16 hours difference
Online Training Time zone: Eastern Standard Time (EST) Guaranteed date!
Online Training Time zone: Central Daylight Time (CDT) Guaranteed date!
Online Training Time zone: Central Daylight Time (CDT) Guaranteed date!
17 hours difference
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Pacific Daylight Time (PDT) Guaranteed date!
Online Training Time zone: Pacific Daylight Time (PDT) Guaranteed date!
19 hours difference
Online Training Time zone: Pacific Standard Time (PST)
Online Training Time zone: Pacific Standard Time (PST)
Online Training Time zone: Pacific Standard Time (PST) Guaranteed date!
Online Training Time zone: Pacific Standard Time (PST) Guaranteed date!
Guaranteed date:   iTLS will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.
Date on request
Asia Pacific
This is a FLEX course, which is delivered both virtually and in the classroom.