# DP-900T00: Microsoft Azure Data Fundamentals Course

Canonical URL: <https://www.graduateschool.edu/courses/dp900t00-microsoft-azure-data-fundamentals>

## Overview

In this course, students will learn the fundamentals of database concepts in a cloud environment, get basic skills 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.

## What you'll learn

- 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.

## Curriculum

#### Module 1: Explore Core Data Concepts

- Explore core data concepts.
- Explore roles and responsibilities in the world of data.
- Describe concepts of relational data.
- Explore concepts of non-relational data.
- Explore concepts of data analytics.

#### Module 2: Explore Relational Data in Azure

- Explore relational data offerings in Azure.
- Explore provisioning and deploying relational database offerings in Azure.
- Query relational data in Azure.

#### Module 3: Explore Non-Relational Data in Azure

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

#### Module 4: Explore Modern Data Warehouse Analytics in Azure

- 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.

## Instructors

### Bruce Gay — Instructor

Bruce is an engaging trainers and program manager who brings 25+ years practical experience to deliver effective and experiential training to students. Able to engage adult learners with a range of backgrounds and professional experiences. Successful at building effective stakeholder relationships and coordinating multi-disciplinary teams for solution delivery.

Bruce has over 25 years of project and program management experience across multiple industries. He has a Masters degree from The George Washington University and a B.A. from the University of North Carolina Chapel Hill. 

Bruce currently runs his own freelance training and consulting business, helping project managers and team leaders improve their business skills, become better leaders, and achieve professional greatness. 

Bruce is a well-received speaker in the areas of design thinking, project management, cross-team collaboration, and AI tools for projects, and has presented at regional and international conferences.

### Steve Pesklo — Instructor

Steve is an energetic trainer who focuses on applying technical concepts to everyday work practices. He is the founder and president of SoftLake Solutions, a company that specializes in providing data and AI applications to identify fraud for Internal Audit, Criminal Investigations, Forensic Accounting, Privacy, and Compliance.

Steve brings a large amount of experience across multiple industries and government agencies. He is an expert in implementing large data analysis projects across the world, including Inland Revenue in the UK and Argentina, New Zealand, Africa and across Europe. Previously, he was the manager of Data Architecture and Data Services for a large mortgage company. He is a frequent speaker on data analytics and project management topics and speaks fluent German. He has been teaching at the Graduate School for over 10 years.

Steve has an M.B.A. from the University of St. Thomas and a B.S. in Computer Science from California Lutheran University and the Universität Salzburg in Austria. He is certified as a Certified Fraud Examiner (CFE), Project Management Professional (PMP), and a Certified ScrumMaster (CSM).

### Joe Mlakar — Instructor

Joe has over 27 years of Federal Government and military service and has been a part-time instructor with Graduate School USA since 2023. He enjoys using his technical knowledge in Operations Research to teach his students to provide organization and structure to complex processes, and apply advanced analytical techniques to help leaders make better decisions. Joe is based in Fort Collins, Colorado.

## Pricing

**Tuition:** $579
