Azure Data Engineering Training – Master Big Data on Microsoft Azure!

Azure Data Engineering Training

Course Overview

Microsoft Azure is one of the leading cloud platforms for big data and analytics. Our Azure Data Engineering Training program is designed to help you master the tools and technologies needed to design, build, and manage data pipelines on Azure. Whether you’re an aspiring data engineer or an experienced professional, this course will equip you with the skills to excel in the world of cloud-based data engineering.

What You’ll Learn

  1. Introduction to Azure
    • Understand the core components of Microsoft Azure.
    • Learn about Azure’s data engineering services and their use cases.
  2. Big Data Tools on Azure
    • Master Azure Synapse Analytics for large-scale data warehousing.
    • Learn to use Azure Data Factory for ETL (Extract, Transform, Load) processes.
    • Explore Azure Databricks for big data processing and machine learning.
  3. Data Storage and Management
    • Work with Azure Blob Storage for scalable object storage.
    • Use Azure SQL Database and Cosmos DB for relational and NoSQL data storage.
    • Learn about Azure Data Lake Storage for big data analytics.
  4. Data Pipeline Development
    • Design and build data pipelines using Azure Data Factory and Azure Synapse Analytics.
    • Orchestrate workflows with Azure Logic Apps and Azure Functions.
  5. Machine Learning Integration
    • Learn to integrate Azure Machine Learning for predictive analytics and AI workflows.
    • Build and deploy machine learning models using Azure’s ML tools.
  6. Data Governance and Security
    • Implement data governance policies using Azure Purview.
    • Ensure compliance with regulations like GDPR and CCPA.
  7. Real-World Projects
    • Build end-to-end data pipelines for real-world use cases.
    • Work on projects like log analysis, recommendation systems, and real-time data processing.

Why Choose Our Azure Data Engineering Course?

  1. Hands-On Learning: Gain practical experience with real-world projects and case studies.
  2. Expert Trainers: Learn from certified Azure professionals with industry experience.
  3. Certification Support: Prepare for the Microsoft Azure Data Engineer Associate certification.
  4. Job Placement Assistance: Get help with resume building, interview prep, and job placement.
  5. Flexible Learning Options: Choose from online, in-person, or self-paced learning modes.

Who Should Enroll?

  • Aspiring data engineers looking to specialize in Azure.
  • Data analysts and scientists aiming to expand their technical skills.
  • IT professionals transitioning into cloud-based data engineering roles.
  • Software developers interested in building data-intensive applications on Azure.

Career Opportunities

  • Azure Data Engineer
  • Cloud Data Engineer
  • Big Data Engineer
  • Data Architect
  • ETL Developer

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