DP-203: Data Engineering on Microsoft Azure Training

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About Course

DP-203: Data Engineering on Microsoft Azure training is a comprehensive program designed to equip individuals with the skills and knowledge needed to become proficient data engineers on the Azure cloud platform. This training covers various aspects of data engineering, including data storage, data processing, data transformation, and data integration using Azure services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Participants learn to design and implement data solutions, ensuring data accuracy, security, and scalability. Upon completion, students are prepared for the DP-203 certification exam, validating their expertise in Azure-based data engineering, a valuable skillset in today’s data-driven business landscape.

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What Will You Learn?

  • 1. Azure Proficiency
  • 2. Career Advancement
  • 3. Data Management Skills
  • 4. Scalability
  • 5. Data Security
  • 6. Real-World Projects
  • 7. Competitive Edge

Course Content

Module 1: Explore compute and storage options for data engineering workloads

  • Understand Azure Synapse Analytics
  • Describe Azure Databricks
  • Describe Azure Databricks Delta Lake architecture
  • Understand Azure Data Lake storage
  • Work with data streams by using Azure Stream Analytics

Module 2:Run interactive queries using serverless SQL pools

Module 3: Data Exploration and Transformation in Azure Databricks

Module 4: Explore, transform, and load data into the Data Warehouse using Apache Spark

Module 5: Ingest and load data into the Data Warehouse

Module 6: Transform Data with Azure Data Factory or Azure Synapse Pipelines

Module 7: Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines

Module 8: End-to-end security with Azure Synapse Analytics

Module 9: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse

Module 10: Real-time Stream Processing with Stream Analytics

Module 11: Create a Stream Processing Solution with Event Hubs and Azure Databricks

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