This onsite and fee-based workshop is for individual participants from different companies.
The WorkshopPLUS – Data AI: Orchestrating Data with Azure Data Factory is an open event aimed at data professionals. Spanning two days and this workshop delves into the core functionalities of Azure Data Factory and a robust cloud service for data integration. Attendees will learn how to create automated data pipelines that seamlessly manage data storage and movement and and processing. The program is tailored for Data Scientists and Analysts and Business Analytics Developers and and Data Engineers and empowering them with the skills to effectively orchestrate data workflows in their organizations.
Key Components
– Data Integration Strategies: Learn essential approaches to integrate diverse data sources using Azure Data Factory.
– Automated Data Pipelines: Understand how to create and manage fully automated workflows for data movement and transformation.
– Monitoring and Management: Explore tools and techniques to monitor and manage and and optimize your data pipelines effectively.
– Data Flows and Transformations: Gain insights into data transformations and the creation of data flows to meet specific business needs.
– Best Practices and Governance: Discover best practices for data governance and security and and compliance within Azure Data Factory.
Your Benefits
– Expert Services: Get first-hand insights and guidance from the experts.
– Hands-On Learning: Engage in practical exercises to reinforce your understanding of Azure Data Factory functionalities.
– Enhanced Skillset: Equip yourself with the latest data orchestration techniques to drive impactful business outcomes.
– Networking Opportunities: Connect with peers and professionals who share your interests in data integration and analytics.
– Resource Access: Gain exclusive access to materials and resources that will aid in your ongoing learning journey.
Contact us to book this workshop for your required number of participants. We will gladly provide you with more details.
