Data Engineering on Microsoft Azure: The Definitive Guide

Jumpstart your career as an Azure Data Engineer with this comprehensive guide to building modern data and analytics platforms on Microsoft Azure. This course provides a step-by-step approach, using engaging video tutorials, to master the extensive suite of Azure Data Services.

You'll gain the skills to architect data solutions on Azure, seamlessly integrate relational and unstructured data, and build robust data processing pipelines using Azure Data Factory. Learn to securely access data stores with Azure Key Vault and Azure Role-Based Access Control (RBAC), ensuring data security and compliance.

Develop proficiency in exploratory data analysis with Azure Synapse Analytics and effectively manage your Azure data costs. This hands-on course features clear explanations, helpful animations, and practical SQL scripts and Jupyter notebooks to facilitate easy learning. You'll work closely with official Microsoft Azure documentation to stay current with the latest service updates.

This course teaches you how to combine a range of Azure services to ingest, store, and process data of all types and sizes from any data source.

Key Azure Services Covered:

• Azure SQL Databases: Learn to manage and utilize relational databases in the cloud.
• Azure Storage: Discover scalable and secure storage solutions for your data.
• Azure Role-Based Access Control (RBAC): Implement granular access control for your Azure resources.
• Azure Data Studio: Master this powerful database tool for data management.
• Azure Storage Explorer: Effectively manage your Azure storage accounts.
• Azure Cost Management: Gain control over your Azure spending.
• Azure Data Factory: Build and manage data integration pipelines.
• Azure Key Vault: Securely store and manage secrets, keys, and certificates.
• Azure Managed Identity: Enable secure authentication for your Azure resources.
• Azure Synapse Analytics: Explore limitless analytics and data warehousing.
• Synapse Workspace: Understand the central hub for your Synapse Analytics projects.
• Synapse Studio: Utilize the web-based interface for Synapse Analytics.
• Serverless SQL Pool: Leverage serverless SQL for on-demand data warehousing.
• Serverless Apache Spark Pool: Perform big data processing with serverless Spark.
• Synapse Analytics Dedicated SQL Pool: Build a dedicated data warehouse with SQL.

At the beginning of each Data Service module, you'll receive an introduction to the service's purpose and practical usage.

Enroll now and gain expertise in Microsoft, Windows, Microsoft Azure, and all Azure Data Services.

Microsoft, Windows, Microsoft Azure are either registered trademarks or trademarks of Microsoft group of companies. This course is not certified, accredited, affiliated with, or endorsed by Microsoft Corporation.