Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Azure Data Engineer & Analyst | Microsoft Fabric | DP-203 | DP-600 | DP-700 | Microsoft Certified: Fabric Data Engineer
Are you ready to become a highly skilled Azure Data Engineer and clear top certifications like DP-203 (Azure Data Engineer Associate), DP-600 (Fabric Analytics Engineer Associate), and DP-700 (Azure Data Analyst Associate)? This Azure Data Engineer MasterClass is designed to give you the knowledge, hands-on practice, and confidence you need to excel in both real-world projects and certification exams.
Why take this course?
The world is generating data at an unprecedented scale, and organizations need professionals who can design, build, and manage modern data solutions on the cloud. Azure has become a leading platform for enterprise data, and roles such as Data Engineer and Analytics Engineer are in high demand. This course will help you step into these roles with job-ready skills.
What this course covers:
We start with the foundations of Azure Storage—including Blob Storage, SQL Database, and Cosmos DB for NoSQL solutions. You will learn how to store, manage, and query data efficiently.
Next, we dive into Azure Data Factory (ADF) where you will build pipelines, automate workflows, and perform both control flow and data flow transformations.
Then we move to Azure Synapse Analytics, covering SQL-based querying and Apache Spark for big data processing. You will gain hands-on experience integrating batch and real-time analytics.
In Azure Databricks, you will learn how to work with Delta Lake and data warehousing for large-scale data engineering workloads.
We then cover Azure Stream Analytics, enabling you to design real-time streaming solutions for IoT, telemetry, and live dashboards.
Finally, you will explore Microsoft Fabric, the newest analytics platform from Microsoft. You will practice ingesting data, building lakehouses, integrating with Power BI, and implementing real-time intelligence scenarios.
Learning by doing
This course is filled with hands-on exercises, demos, and real-world role plays that simulate data engineering challenges you will face in interviews and on the job. By applying what you learn in practical scenarios, you will build confidence and mastery over Azure’s data ecosystem.
What makes this course different?
Covers three major certifications in one MasterClass.
Combines theory, practical hands-on demos, and role plays.
Designed by industry experts and experienced instructors with years of Azure experience.
Focuses on job-ready skills, not just exam preparation.
By the end of this course, you will be able to confidently design, build, and manage Azure-based data engineering solutions, clear your certifications, and step into a high-demand career as an Azure Data Engineer.
Course Content
- 31 section(s)
- 342 lecture(s)
- Section 1 Introduction
- Section 2 Basics of Data
- Section 3 Azure Basic Services
- Section 4 -------------------- Part 1: Azure Storage Services --------------------
- Section 5 Azure Storage
- Section 6 Azure SQL Database
- Section 7 Azure NoSQL Solution : CosmosDB
- Section 8 Azure NoSQL Solution : CosmosDB Part 2
- Section 9 -------------------- Part 2: Azure Data Factory --------------------
- Section 10 Azure Data Factory: Getting Started
- Section 11 Azure Data Factory: Control Flow Activities
- Section 12 Azure Data Factory: Getting Started with DataFlow
- Section 13 Azure Data Factory: Data Flow Transformations
- Section 14 -------------------- Part 3: Azure Synapse Analytics --------------------
- Section 15 Azure Synapse Analytics: Getting Started
- Section 16 Azure Synapse Analytics SQL
- Section 17 Azure Synapse Analytics Apache Spark
- Section 18 -------------------- Part 4: Azure Databricks --------------------
- Section 19 Getting Started Azure Databricks
- Section 20 Delta Lake & Data Warehouse in Azure Databricks
- Section 21 -------------------- Part 5: Azure Stream Analytics --------------------
- Section 22 Azure Stream Analytics
- Section 23 ---------------- Part 6: Fabric Data Engineer Associate ----------------
- Section 24 Getting Started with Microsoft Fabric
- Section 25 Data Warehouse and Power BI
- Section 26 Ingest Data with Microsoft Fabric
- Section 27 Implement Lakehouse with Microsoft Fabric
- Section 28 Implement Real-Time Intelligence with Microsoft Fabric
- Section 29 Role Plays
- Section 30 Thanks you & Way Forward
- Section 31 Bonus Lecture
What You’ll Learn
- Learn Basic Data Engineering & Database Concept
- Learn Various Storage Product like Azure Storage, Queue, File, Table Storage
- Build structured data solution with various SQL database options
- Store Semi-structured data with CosmosDB
- Develop ETL, ELT Solution with Azure Data Factory
- Analyze Data with Data ware housing system - Synapse analytics
- Azure Data Factory Control Flow Activities
- Synapse SQL in Azure Synapse Analytics
- Apache Spark in Azure Synapse Analytics
- Azure Databricks
- Delta Lake & Data warehouse in Azure Databricks
- Work with real-time analytics using Azure Stream Analytics.
- Gain practical knowledge of Microsoft Fabric for data ingestion, lakehouse, Power BI integration, and real-time intelligence.
Skills covered in this course
Reviews
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MMamoudou Kaba
Très bonne formation pour apprendre les bases Azure data engineer
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VVivek Tomar
The concepts are clearly explained in simple language, making them easy to follow. The course begins with a well-defined objective that guides understanding without feeling overwhelming.
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AAnthony Fiore
The content is good but the delivery isn't ideal. The instructor doesn't speak in a way that's easy to listen to. Also the first instructor often didn't seemed to have practiced the exercises much beforehand as he often was unsure what options to choose.
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PPooja Shree M
content was very useful !!!