DP-203T00: Data Engineering on Microsoft Azure

Data Engineering on Microsoft Azure

 

 

DP-203T00: Data Engineering on Microsoft Azure Certificate

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  • Gain proficiency in Azure Data Lake Storage Gen2 for large-scale data storage and analytics.
  • Master querying and data transformation with Azure Synapse Analytics serverless SQL pools.
  • Perform data engineering tasks using Azure Synapse Apache Spark Pools and Databricks.
  • Learn to build, secure, and optimize data pipelines in Azure Synapse Analytics.
  • Develop skills in hybrid transactional and analytical processing (HTAP) with Azure Synapse Link.

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Categories Microsoft

Fundamental Learnings

Training by Top Microsoft-Certified Trainers

1 Day of Live, Instructor-Led Sessions

Latest, Up-to-date Curriculum, Approved by Industry Experts

Access to a Digital Library of Learning Resources

Comprehensive Knowledge of Core Learnings

Blend of classroom sessions and hands-on training

Prerequisites for this Courese

Prerequisites and Eligibility

  • Knowledge of Cloud Computing and Core Data Concepts: A foundational understanding of cloud services and data principles.
  • Professional Experience with Data Solutions: Hands-on experience in working with data solutions, including data processing and storage.
  • Completing the following certifications can help in meeting these prerequisites:
  • AZ-900: Microsoft Azure Fundamentals: Covers basic cloud concepts and Azure services.
  • DP-900: Microsoft Azure Data Fundamentals: Focuses on core data concepts and how they're implemented using Microsoft Azure data services.

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Things Included in the course learning

Course Curriculum

Module 1: Get started with data engineering on Azure

Module 2: Build data analytics solutions using Azure Synapse Analytics serverless SQL pools

Module 3: Perform data engineering with Azure Synapse Apache Spark Pools

Module 4: Work with data warehouses using Azure Synapse Analytics

Module 5: Transfer and transform data with Azure Synapse Analytics Pipelines

Module 6: Work with hybrid transactional and analytical processing (HTAP) Solutions using Azure Synapse Analytics

Module 7: Implement a data streaming solution with Azure Stream Analytics

Module 8: Govern data across an enterprise

Module09: Data engineering with Azure Databricks

Things Included in the course learning

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What will I learn in this course

Output of this Course

  • Understand the fundamentals of data engineering on Azure, including data storage, streams, and analytics.
  • Gain proficiency in Azure Data Lake Storage Gen2 for large-scale data storage and analytics.
  • Master querying and data transformation with Azure Synapse Analytics serverless SQL pools.
  • Perform data engineering tasks using Azure Synapse Apache Spark Pools and Databricks.
  • Learn to build, secure, and optimize data pipelines in Azure Synapse Analytics.
  • Develop skills in hybrid transactional and analytical processing (HTAP) with Azure Synapse Link.
  • Implement real-time analytics and stream processing solutions using Azure Stream Analytics and Event Hubs.
  • Integrate Azure Databricks for complex data exploration and transformation tasks.
  • Apply end-to-end security measures to protect data within Azure Synapse Analytics.
  • Explore machine learning capabilities and Power BI integration for advanced analytics in Azure Synapse Analytics.

Who is this course for

  • Data Engineers
  • Data Architects
  • Data Scientists
  • Database Administrators
  • IT Professionals with a focus on data solutions
  • Business Intelligence Professionals
  • Cloud Solution Architects
  • Professionals seeking certification in Microsoft Azure Data Engineering
  • Technical Team Leads managing data-centric projects
  • Data Analysts aiming to upgrade their skills to include big data and real-time analytics
  • Software Engineers looking to specialize in data engineering on Azure platforms
  • DevOps Engineers working with data-intensive applications and analytics pipelines

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