Azure Data Engineering
Azure Data Engineering
Dr. Emily Carter
AI Research Scientist
Module 1: Introduction to Azure & Data Engineering
- What is Data Engineering?
- Why Azure? Key services overview
- Understanding Data Lakes, Warehouses, Pipelines
- Azure Data Engineer Career Path & Certification (DP-203)
Module 2: Azure Storage & Ingestion
- Azure Blob Storage
- Azure Data Lake Storage Gen2
- Azure SQL Database & Synapse Analytics
- Azure Data Factory
- Azure Synapse Pipelines
- Azure Event Hubs & IoT Hub (basics)
Ingesting data with:
Azure Data Factory
Azure Synapse Pipelines
Azure Event Hubs & IoT Hub (basics)
Module 3: Data Transformation & Orchestration
- Azure Data Factory (ADF) Pipelines: ETL/ELT
- Mapping Data Flows
- Parameterization, Triggers, Linked Services
- Integration Runtimes (IR)
Module 4: Azure Synapse & Big Data Analytics
- Synapse Studio & Workspace
- Serverless SQL & Dedicated SQL Pools
- Spark Pools for Big Data
- Use Synapse for Data Warehousing & Reporting
Module 5: Data Reporting & Integration
- Connect Power BI to Synapse & Data Lake
- Building Business Dashboards
- Role of Azure Analysis Services (AAS)
- Data Modeling Concepts
Tools Covered
- Azure Portal
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake Storage
- Power BI
- SQL Server Management Studio (SSMS)
- Azure Monitor & Purview
$199
Class Features
- End-to-End Azure Data Engineering: Learn data lakes, pipelines, and data warehouses using Microsoft Azure
- Integrate & Visualize with Power BI: Create professional dashboards and connect reporting tools to your data pipeline
- Hands-On with Real Azure Tools: Work directly with Azure Data Factory, Synapse Analytics, Power BI, and more
- Certification Provided: Get a verified certificate upon successful completion
FAQS
Frequently Asked Question
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