Preparing for Azure Data Engineer Certification: DP-203 Data Engineering on Microsoft Azure Exam
β±οΈ Length: 19.8 total hours
β 4.30/5 rating
π₯ 12,296 students
π May 2025 update
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- Course Overview:
- This comprehensive program prepares you for the Microsoft DP-203: Data Engineering on Microsoft Azure certification exam, validating crucial cloud data engineering expertise.
- Master designing, implementing, monitoring, and optimizing robust data platforms using a diverse array of essential Microsoft Azure services.
- The curriculum covers the entire data lifecycle: data ingestion, robust transformation, scalable storage, and efficient data serving within Azure.
- Fully updated for the May 2025 exam changes, ensuring your technical knowledge is current, relevant, and directly applicable to modern data engineering.
- Become a certified Azure Data Engineer Associate, a highly valued and internationally recognized credential in the competitive tech industry.
- This 19.8-hour course blends essential theoretical knowledge with critical hands-on practical exercises to build tangible, real-world Azure data engineering capabilities.
- Requirements / Prerequisites:
- A foundational understanding of core data concepts, including relational, non-relational, data warehousing principles, and basic data modeling.
- Solid proficiency in SQL (Structured Query Language) is absolutely essential for effective data querying, manipulation, and managing Azure data stores.
- Basic comprehension of cloud computing fundamentals (IaaS, PaaS, SaaS) and a general understanding of cloud environment operations is beneficial.
- Familiarity with a programming language such as Python or Scala is necessary for Apache Spark-based processing with Azure Databricks or Synapse Spark.
- A working knowledge of different data processing concepts, including batch processing, real-time stream processing, and both ETL and ELT methodologies.
- Skills Covered / Tools Used:
- Implement Azure Data Lake Storage Gen2 & Azure Blob Storage: Design and configure scalable, secure storage solutions for big data analytics and unstructured data.
- Deploy Azure Cosmos DB & Azure SQL Database/Managed Instance: Master globally distributed NoSQL solutions and optimize relational databases in Azure.
- Orchestrate with Azure Data Factory: Construct and automate complex ETL/ELT workflows for efficient data movement, transformation, and integration.
- Utilize Azure Synapse Analytics: Integrate data warehousing, big data processing, and machine learning capabilities into unified, high-performance analytical solutions.
- Master Azure Databricks: Perform advanced analytics, data engineering, and data science using Apache Spark in an optimized cloud environment.
- Process Real-time Data: Implement sophisticated solutions with Azure Stream Analytics, ingesting events via Azure Event Hubs and Azure IoT Hub.
- Secure & Monitor Azure Data Solutions: Apply Azure Active Directory (AAD), RBAC, encryption, and monitor with Azure Monitor and Log Analytics.
- Programming Languages & Scripting: Gain extensive practical application of SQL, Python (PySpark), and Azure CLI/PowerShell for automation and solution implementation.
- Benefits / Outcomes:
- Attain the prestigious Microsoft Certified: Azure Data Engineer Associate certification, a globally recognized credential enhancing your professional standing.
- Acquire comprehensive, hands-on skills to effectively design, implement, and manage end-to-end data solutions across the Microsoft Azure platform.
- Develop an in-depth understanding of the intricate Azure data ecosystem, enabling strategic architectural decisions for complex data challenges.
- Unlock significant career opportunities in high-demand roles such as Data Engineer, Cloud Data Architect, or Senior BI Developer, with increased earning potential.
- Master best practices for optimizing data solution performance, ensuring high scalability, and managing costs effectively in real-world Azure deployments.
- PROS:
- Industry-Recognized Credential: Directly prepares you for a highly respected Microsoft certification, validating your technical expertise globally.
- Comprehensive & Up-to-Date: Covers the latest Azure services, features, and official exam objectives, incorporating the vital May 2025 update.
- Practical Skill Development: Focuses heavily on hands-on application through labs and scenarios, enabling you to immediately build and manage real-world data solutions.
- Career Acceleration: Significantly enhances job prospects and potential for rapid career advancement within the booming cloud data engineering field.
- Expert-Level Content: Provides deep dives into complex, advanced topics, presented in a structured, digestible manner conducive to true mastery.
- CONS:
- Demanding Time Investment: Requires substantial personal dedication and self-discipline to thoroughly absorb the breadth and depth of advanced material over its comprehensive duration.
Learning Tracks: English,IT & Software,IT Certifications
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