Azure has become a leading cloud platform. Expertise in ADF opens doors to lucrative roles in data engineering and analytics.
This course provides you with the essential skills to master Azure Data Factory. You’ll start with ADF’s core concepts, architecture, and data connectivity to both on-premises and cloud sources. Through hands-on lessons and real-world examples, you’ll learn to create, manage, and monitor pipelines, handle incremental data loads, and work with version control using Git. Advanced topics include big data integration with Azure SQL, HDInsight, and Hive and designing analytics and machine learning workflows.
After completing this course, you’ll confidently design, develop, and maintain data pipelines in Azure Data Factory. You’ll be equipped to tackle integration challenges, optimize cost and performance, ensure scalability and high availability, and implement data governance and security—boosting your career prospects in data engineering and analytics.
Azure has become a leading cloud platform. Expertise in ADF opens doors to lucrative roles in data engineering and analytics.
T...Show More
WHAT YOU'LL LEARN
An understanding of Azure Data Factory’s fundamentals, benefits, and role in data integration and processing
Hand-on experience implementing data pipelines in ADF, including data transformation, copying, masking, and scheduling
Proficiency in big data processing techniques using Azure SQL, HDInsight, and Hive and leveraging machine learning capabilities in ADF
The ability to connect ADF to various data sources, both on-premises and in the cloud, and perform data profiling and modeling
An understanding of Azure Data Factory’s fundamentals, benefits, and role in data integration and processing
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Content
1.
Getting Started
1 Lessons
Get an introduction to Azure Data Factory for effective data pipeline management and integration.
2.
Introduction to Azure Data Factory
5 Lessons
Explore Azure Data Factory’s integration capabilities, architecture, and real-world applications.
3.
Setting Up an Azure Data Factory Environment
5 Lessons
Master Azure account setup, storage management, and Data Factory integration for efficient data workflows.
4.
Data Connectivity and Management
5 Lessons
Explore Azure Data Factory’s integration, data quality, and metadata management for effective data workflows.
5.
Creating Data Pipelines in Azure Data Factory
7 Lessons
Understand the essentials of Azure Data Factory for efficient data pipeline creation and management.
6.
Managing and Monitoring Azure Data Factory Pipelines
7 Lessons
Master efficient data management, monitoring, debugging, and version control in Azure Data Factory.
7.
Big Data Integration and Processing
6 Lessons
Explore Azure’s data management solutions, focusing on relational databases, HDInsight, and big data integration.
8.
Machine Learning and Advanced Analytics
5 Lessons
Master machine learning project management and automation using Azure’s integrated tools.
9.
Data Governance and Security
5 Lessons
Explore data governance, security, and access management in Azure Data Factory.
10.
Azure Data Factory: Best Practices
4 Lessons
Learn how to design patterns, optimize costs, and ensure scalability in Azure Data Factory.
11.
Conclusion
1 Lessons
Conclude the Azure Data Factory concepts and enhance skills through practical applications.
12.
Appendix
1 Lessons
Validate your skills with essential Microsoft certifications in Azure Data Factory.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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