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Azure Data Engineer Associate Certification Course

Azure Data Engineer Associate Certification Course

Master Azure data engineering: Data Ingestion, Data Storage, ETL Pipelines, Real-Time Streaming, Data Governance, Security & More Experience live, interactive sessions led by Microsoft-certified Azure data engineers and industry professionals

Receive complete certification support with exam-focused study and expert guidance Earn the globally recognized Microsoft Certified: Azure Data Engineer Associate credential

Key Highlights

Live interactive sessions delivered by Azure-certified experts and cloud professionals

Hands-on projects and quizzes focused on current industry challenges

Instruction aligned with all domains covered in the official DP-203 exam

Access to a collaborative Azure learner community and specialized resources

About the Azure Data Engineer Associate Course: Overview

This comprehensive course delivers detailed instruction across the major competencies required for contemporary Azure data engineering. The curriculum is designed for building, managing, and optimizing sophisticated Azure-based data pipelines. Through the use of Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Stream Analytics, and additional services, learners acquire both theoretical knowledge and practical application. Emphasis is placed on hands-on labs and business-oriented project work that reflect real Azure engineering environments and prepare candidates for the DP-203 certification.

What Will You Learn in This Azure Data Engineer Program?

The program is structured into eight focused modules supported by relevant case studies and practical projects:

Live Interactive Training Modules

    • Data Storage Design and Implementation on Azure : Exploration of primary data storage services, partitioning best practices, data lakes, and warehousing strategies
    • Data Ingestion and Transformation : Mastery of batch and real-time ingestion workflows utilizing Data Factory, Stream Analytics, Event Hubs, and transformation with Synapse Pipelines and Databricks
    • Developing Data Processing Solutions : Transformation and preparation of data employing Apache Spark in Azure Databricks and Synapse Spark pools
    • Building Streaming Data Pipelines : Construction and optimization of event-driven pipelines for real-time analytics
    • Data Governance and Security on Azure : Management of access, encryption, auditing, and protection for sensitive data assets with Microsoft Purview and Azure security features
    • Monitoring and Optimizing Data Pipelines : Implementation of tools and methods for pipeline monitoring, troubleshooting, and resource efficiency
    • Metadata Management and Data Cataloging : Organizing and governing enterprise data with Microsoft Purview and Data Catalog
    • Microsoft DP-203 Exam Preparation : Comprehensive exam review, practice assessments, and strategy sessions with a focus on technical proficiency

    • Designing and implementing scalable storage architectures with Azure Data Lake, Synapse Analytics, and Blob Storage
    • Building robust ETL workflows from batch and streaming sources using Data Factory and Stream Analytics
    • Applying advanced data transformation using Azure Databricks and Spark SQL
    • Architecting event-driven streaming pipelines through Event Hubs and Kafka integration
    • Establishing comprehensive data governance and security, including audit trails, privacy, and compliance features
    • Optimizing workflow cost and performance with Azure Monitor and Log Analytics
    • Managing metadata lifecycle and cataloging through Microsoft Purview and Data Catalog
    • Achieving exam readiness through practical labs, technical exercises, and knowledge reviews

    • Cloud data platforms have become the backbone of organizational analytics, making expertise in Azure data engineering both strategically significant and technically demanding. Mastery of this discipline demonstrates an ability to deliver secure, scalable, and efficient solutions in cloud-centric business landscapes. Certification in Azure data engineering signifies advanced capability and alignment with modern organizational data needs.

      What Does an Azure Data Engineer Associate Do?

    • Analyze business requirements to design precise data engineering solutions leveraging Azure’s services and frameworks
    • Develop, test, and maintain data ingestion systems that efficiently process diverse sources at scale
    • Utilize Spark, SQL, and Data Factory workflows for rigorous data transformation and analytics preparation
    • Build and manage real-time streaming pipelines for actionable insights to drive operational decision-making
    • Oversee implementation of security and compliance controls according to industry standards and organizational guidelines
    • Organize and refine metadata and data catalogs to enhance discoverability and governance
    • Collaborate closely with cross-functional teams for seamless integration of data solutions

    • Roles You Can Pursue with This Certification

      Azure Data Engineer
      Cloud Data Pipeline Developer
      Big Data Engineer on Azure
      Cloud Data Governance Specialist
      Real-Time Data Analytics Engineer
      Data Platform Automation Engineer

      Core Skills Covered

      Data Storage Architecture on Azure | Data Pipeline Design and Orchestration | Batch & Stream Processing | Data Security & Compliance | Monitoring and Performance Tuning | Data Cataloging and Metadata Management | Exam Preparation and Strategy

      Azure Data Engineer Projects

    • Design and implementation of batch and streaming data pipelines using Azure Event Hubs and Data Factory
    • Creation of robust ETL and ELT transformations via Azure Databricks and Synapse Pipelines
    • Architecture of secure data lakes, including governance measures utilizing Microsoft Purview
    • Implementation of structured metadata management and data discovery processes with Microsoft Purview
    • Capstone delivery of a comprehensive Azure solution addressing storage, ingestion, transformation, governance, and reporting

    Career Services

    Guided resume review and professional branding workshops Technical communication, portfolio documentation, and engagement in Azure engineering best practices Access to Azure forums for technical exchange and continuous development

    Microsoft Certified: Azure Data Engineer Associate Certification

    This credential validates technical mastery in building, securing, and optimizing data solutions on Microsoft Azure. Certification establishes competency in contemporary architectural practices, aligning with industry standards for enterprise data engineering.

FAQ

Key focus areas include Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage Gen2, Azure Event Hubs, and Microsoft Purview for governance.

The curriculum is tailored for data engineers, cloud architects, BI developers, and analytics professionals seeking expertise in designing and delivering solutions on Azure.

While familiarity with Azure is an asset, the course spans from foundational concepts through advanced applications, reinforced with practical labs.

The program follows the official exam blueprint and features focused modules, technical labs, practical assessments, and strategy sessions to maximize proficiency.

Earning this credential verifies knowledge and practical skills in orchestrating cloud data architectures, delivering secure and scalable pipeline solutions that align with current Azure technologies.
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