Azure Data Factory para Iniciantes

Come dive into the world of cloud data integration with this comprehensive Azure Data Factory course! This Udemy course, presented in Portuguese, is your starting point for mastering Azure Data Factory, Microsoft's powerful cloud-based data integration service. Learn how to orchestrate the movement and transformation of data at scale with this fully managed, serverless solution.

What is Azure Data Factory?

Azure Data Factory is a cloud-based ETL (Extract, Transform, Load) and data integration service. It empowers you to build data-driven workflows (pipelines) to seamlessly move and transform data from various data sources. This course will equip you with the skills to create and schedule these pipelines to ingest data from diverse repositories.

In this course, you will learn:

• ETL vs. ELT: Understand the fundamental concepts of data integration methodologies.
• Azure Data Factory Fundamentals: Gain a solid understanding of what Azure Data Factory is and how it works.
• Hands-On Data Transfer: Practical experience transferring data using Azure Data Factory.
• Provisioning Azure Resources:
  • Azure Data Lake: Learn to provision and configure an Azure Data Lake for scalable data storage.
  • Azure SQL Database: Set up an Azure SQL Database as a data source.
  • Azure Data Factory: Deploy and configure your Azure Data Factory instance.
• Configuring Azure Data Factory:
  • Integration Runtimes: Create and manage Integration Runtimes.
  • Linked Services: Establish connections to various data sources using Linked Services.
  • Dynamic Datasets: Define dynamic datasets for flexible data access.
  • Data Pipelines: Build and configure robust data pipelines.
• Azure Data Factory Activities: Explore and utilize various activities within Azure Data Factory pipelines:
  • Filter: Implement data filtering logic.
  • ForEach: Iterate over data sets.
  • Execute Pipeline: Run other pipelines from within your main pipeline.
  • Delete: Perform data deletion operations.
  • Lookup: Retrieve data from external sources.
  • Get Metadata: Access metadata information about datasets.
  • And more!
• Triggers: Create and configure triggers to automate pipeline execution:
  • Self-Hosted Integration Runtime: Set up and configure a self-hosted Integration Runtime.
• Data Flows: Learn to create and configure Data Flows for data transformation.

This course is perfect for anyone looking to master Azure Data Factory and build scalable data integration solutions in the cloud. Start your journey today!