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Microsoft Azure Data Factory: Orchestrating Data Closed Workshop (3 Days)

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The workshop titled WorkshopPLUS - Data AI: Orchestrating Data with Azure Data Factory is an intensive program aimed at data professionals over a dedicated period. This course delves into the essential principles of Azure Data Factory, a powerful cloud-based data integration service. Participants will learn how to design automated data pipelines that efficiently store, move, and process data. Geared towards Data Scientists, Analysts, Business Analytics Developers, and Data Engineers, this workshop equips attendees with the skills necessary to optimize their data orchestration efforts effectively.

Key Components

  • Introduction to Data Factory: Gain an understanding of Azure Data Factory’s core functions and capabilities in cloud data integration.
  • Data Pipeline Creation: Learn how to design and implement automated data pipelines that streamline data movement and processing.
  • Data Movement Techniques: Explore various methods for effectively transferring data between different storage and processing services.
  • Integration Patterns: Understand key integration patterns and best practices for utilizing Data Factory within your data architecture.
  • Monitoring and Management: Discover tools and techniques for monitoring your pipelines and managing performance metrics for optimal operation.

Your Benefits

  • Expert Services: Get first-hand insights and guidance from the experts.
  • Skill Enhancement: Improve your knowledge and practical skills in data orchestration using Azure Data Factory.
  • Informed Decision-Making: Make better data strategy decisions based on real-world scenarios and practical application.
  • Networking Opportunities: Connect with peers and industry professionals to share experiences and insights.
  • Tailored Learning Experience: Benefit from a focused workshop designed to meet the specific needs of data professionals.
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Disclaimer: The services and descriptions provided herein are subject to change without prior notice. While we strive to ensure the accuracy and completeness of the information presented, we make no guarantees or warranties, express or implied, regarding the reliability, availability, or suitability of the services for any particular purpose.

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