Azure Data Engineer Fasttrack – DE-FT

Azure Data Engineer
(Fasttrack) – DE-FT


This 5-day course prepares you for Exam DP-203: Data Engineering on Microsoft Azure – Microsoft Certified: Azure Data Engineer Associate.
Includes the following:
AZ-900 – Microsoft Azure Fundamentals
DP-900 – Microsoft Azure Data Fundamentals
DP-203T00 – Data Engineering on Microsoft Azure

Audience Profile

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course data analysts and data scientists who work with analytical solutions built on Microsoft Azure.


After completing this course, students will be able to:

Understand general cloud computing concepts
Understand core services available with Microsoft Azure
Understand security, privacy, compliance and trust with Microsoft Azure
Understand pricing and support models available with Microsoft
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
Explore compute and storage options for data engineering workloads in Azure
Design and Implement the serving layer
Understand data engineering considerations
Run interactive queries using serverless SQL pools
Explore, transform, and load data into the Data Warehouse using Apache Spark
Perform data Exploration and Transformation in Azure Databricks
Ingest and load Data into the Data Warehouse
Transform Data with Azure Data Factory or Azure Synapse Pipelines
Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
Optimize Query Performance with Dedicated SQL Pools in Azure Synapse
Analyze and Optimize Data Warehouse Storage
Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
Perform end-to-end security with Azure Synapse Analytics
Perform real-time Stream Processing with Stream Analytics
Create a Stream Processing Solution with Event Hubs and Azure Databricks
Build reports using Power BI integration with Azure Synpase Analytics
Perform Integrated Machine Learning Processes in Azure Synapse Analytics


Successful learners will have prior knowledge and understanding of:

Security best practices and industry security requirements such as defense in depth, least privileged access, role-based access control, multi-factor authentication, shared responsibility, and zero trust model.
Be familiar with security protocols such as Virtual Private Networks (VPN), Internet Security Protocol (IPSec), Secure Socket Layer (SSL), disk and data encryption methods.
Have some experience deploying Azure workloads. This course does not cover the basics of Azure administration, instead the course content builds on that knowledge by adding security specific information.
Have experience with Windows and Linux operating systems and scripting languages. Course labs may use PowerShell and the CLI.

Related trainings

Training Delivery and Pricing

4 Day – (32 Hours)

Live Interactive Training via Microsoft Teams

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