Expert Training Cloud Computing,Data Science & Analytics DP-203 Data Engineering on Azure

DP-203 Data Engineering on Azure

2:20 pm


DP-203 Data Engineering on Azure

The DP-203 Data Engineering on Azure course provides a comprehensive understanding of data engineering concepts and practices on the Azure platform. This course is designed to equip participants with the skills needed to design and implement data solutions using Azure data services.

Introduction

This course covers essential topics such as data storage, data processing, data security, and data integration on Azure. The primary objectives include understanding how to build and maintain data pipelines, implement data storage solutions, and ensure data quality while meeting business requirements.

What You’ll Learn

  • Design and implement data storage solutions on Azure.
  • Build and orchestrate data processing workflows.
  • Implement data security and compliance measures.
  • Utilize Azure services like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Monitor and troubleshoot data solutions on Azure.

Requirements

  • Basic understanding of data concepts and analytics.
  • Familiarity with Azure cloud services.
  • Experience with SQL and data querying.
  • A computer with internet access and an Azure subscription for hands-on labs.

Detailed Course Description

The DP-203 Data Engineering on Azure course dives deep into the key areas of data engineering. Participants will learn how to design and implement data storage solutions using Azure Blob Storage, Azure SQL Database, and Cosmos DB. The course emphasizes practical, hands-on experience, allowing students to create and manage data pipelines with Azure Data Factory and Azure Databricks.

In addition to storage solutions, the course covers essential data processing techniques, including data ingestion, transformation, and orchestration. Students will explore Azure Synapse Analytics for analytical workloads and learn how to implement data integration and orchestration solutions.

Throughout the course, participants will gain insights into ensuring data quality, implementing data security measures, and adhering to compliance requirements. With a blend of theoretical knowledge and practical exercises, this course prepares learners to tackle real-world data engineering challenges on Azure. For more insights on Azure data solutions, check out Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

Who is This Course For?

This course is ideal for data engineers, data analysts, and anyone involved in data management and analytics looking to enhance their skills in Azure data solutions. It is also suitable for IT professionals and developers aiming to build a career in data engineering on the Azure platform.

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