Azure Data Factory na Prática e sem Mistérios
Learn Azure Data Factory: data transformations & cloud data loading. Perfect for beginners! Master data pipelines in the Azure cloud.
Course Content
Azure Data Factory na Prática e sem Mistérios is an intermediate-level Udemy course taught by Juracy Araujo de Almeida Junior. It runs 4h 8m, is taught in Portuguese, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 20 reviews, with 73 students enrolled. It is a paid course, first published June 2023.
Come explore the power of Azure Data Factory! This hands-on training will guide you through building robust data pipelines for data integration and data transformation in the cloud.
Are you ready to master Azure Data Factory and unlock the potential of your data? This course provides a practical introduction to creating data loading processes, also known as pipelines, leveraging the key features of Azure Data Factory. Whether you're a beginner or a data professional looking to expand your skills, this is the perfect opportunity to learn.
We'll delve into essential components like CopyData, DataFlow, Selection, Derived Columns, and Joins, demonstrating their practical application within the Azure environment. You'll learn how to set up an Azure account and utilize a 30-day free credit to complete the training. Alternatively, you can follow along and observe the components in action without subscribing.
The course culminates in a comprehensive ETL project, where you'll perform data transformations and loads into databases, complete with challenging exercises to solidify your understanding.
Here's a glimpse of the practical skills you'll gain:
- Azure Data Factory Architecture: Understand the foundational structure of Azure Data Factory.
- Pipelines & Data Flows: Learn to design and implement efficient data pipelines.
- Parameters: Master the use of parameters for flexible pipeline configurations.
- Orchestration & Dependencies: Control and manage pipeline execution with dependencies.
- ETL Project: Apply your knowledge to a real-world ETL scenario.
- Datasets, Linked Services & Integration Runtime: Learn to define and manage data sources and execution environments.
- Data Loading & Transformation: Develop skills in loading and transforming data for various database systems.
- Monitoring Data Loads: Gain proficiency in monitoring pipeline performance and identifying potential issues.
- Hands-on Activities: Reinforce your learning through practical exercises.
Ready to dive in and become an Azure Data Factory expert? Let's get started!
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