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DP-203: Data Engineering on Microsoft Azure

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Find out more about DP-203: Data Engineering on Microsoft Azure

The DP-203 course equips learners to design, implement, and manage robust data solutions on Microsoft Azure. Participants gain hands-on experience with data storage, transformation, and integration using Azure services like Azure Data Lake, Azure Synapse, and Azure Databricks. The course covers data pipelines, security, monitoring, and optimization for scalable solutions. Designed for aspiring data engineers, it aligns with the DP-203 certification, preparing professionals to efficiently manage, process, and analyze large-scale structured and unstructured data in the cloud. 

Duration
35 hours
Fees
$399.00
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About DP-203: Data Engineering on Microsoft Azure

  • Learn to design and implement scalable data solutions on Azure.

  • Explore Azure Data Lake, Synapse Analytics, and Databricks services.

  • Build, schedule, and monitor robust data pipelines efficiently.

  • Perform data ingestion, transformation, and integration across multiple sources.

  • Ensure data security, privacy, and compliance using Azure tools.

  • Optimize data storage, performance, and query execution strategies.

  • Implement batch and streaming solutions for real-time analytics.

  • Monitor, troubleshoot, and maintain production data workflows reliably.

  • Gain hands-on labs to master Azure data engineering skills.

  • Prepare thoroughly for Microsoft DP-203 certification and career growth.

Eligibility of the course

  • Basic knowledge of data concepts: relational, non-relational, structured, and unstructured data.
  • Familiarity with SQL for querying, data manipulation, and transformation tasks.
  • Understanding of cloud computing fundamentals, preferably Azure services and architecture.
  • Experience with data integration, ETL/ELT processes, or data pipelines.
  • Knowledge of programming languages like Python, .NET, or Scala is helpful.
  • Optional but recommended: exposure to big data technologies like Spark, Hadoop, or Databricks.

Key takeaways

  • Comprehensive Study material
  • Access to Practice tests
  • Access to LMS course content
  • Access to course assignments
  • Industry-relevant case-studies


FAQs

Asked Questions & Answer

 It teaches designing, building, and managing scalable data solutions using Azure services. 

 Ideal for aspiring data engineers, ETL developers, and cloud data professionals. 

 Yes. Basic SQL, cloud fundamentals, and data integration concepts are recommended. 

 Data ingestion, transformation, pipeline creation, monitoring, security, and performance optimization. 

 Yes. It aligns with the Microsoft DP-203 certification exam for Data Engineer Associate. 

 Through instructor-led training  and hands-on Azure labs. 

 Prepares for roles like Azure Data Engineer, ETL Specialist, and Cloud Developer. 

 Azure Data Lake, Azure Synapse Analytics, Azure Databricks, and Azure Data Factory. 

 Typically 3–5 days instructor-led  depending on experience. 

 Yes. Microsoft’s DP-203 certification is widely recognized in data engineering roles worldwide. 

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