Kurzbeschreibung:

This comprehensive guide to Microsoft Azure Data Engineering is designed to elevate your skills in data analytics, pipeline development, and Azure cloud solutions. Dive deep into essential concepts like data integration, ETL, SQL, Data Lakes, storage management, Data Governance, Data Strategy and big data architecture.

This eBook is a Number #1 Best Seller in the following categories:

#1 Data Warehousing
#1 Computer Engineering
#1 SQL Programming

In todays job market, skilled Azure Data Engineers are rare, and their compensation reflects that rarity. They enjoy substantial salaries and the freedom to choose their ideal employers.

As someone who has successfully become an Azure Data Engineer, Im sharing the blueprint for my journey in this eBook.

Inside, youll find over 1,100 meticulously crafted questions and answers covering the core Azure components that Data Engineers rely on daily.

This eBook is indispensable for:

Rapidly enhancing your grasp of Azure Data Engineering technology
Preparing for an Azure Data Engineering interview
Studying for the DP-203 Microsoft Certification exam
Serving as a reference guide for comprehending the operations of relevant Azure components

Some of the key Data Engineering concepts covered include:

Azure Platform: Azure Tenant, Azure Active Directory, Management Groups, Subscriptions, Resource Groups
Databases: Azure Synapse Analytics, Azure SQL Database, SQL Server on Virtual Machines, Azure Cosmos DB, SQL Server On-Premises, DBA concepts, and SQL Performance Tuning
ETL: Azure Data Factory
Storage: Azure Data Lake Gen2
Real-Time Analytics: IoT Hub, Event Hub, Event Grid, Azure Stream Analytics, Data Explorer
Data Science: Machine Learning, Databricks, Cognitive Services
Security: Key Vault, RBAC, Private Endpoints
Deployments: DevOps, ARM, and BICEP Templates
Programming: SQL, Python, PowerShell, and Azure CLI
Data Modeling: Kimball Methodology, Data Warehousing
Front End: Function Apps, Logic Apps
Reporting: Power BI and Azure Analysis Services
Azure Architecture: Lambda, Kappa, Data Mesh
Monitoring and Governance: Azure Purview, Azure Monitor, Log Analytics