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Microsoft DP-203 Certified: Azure Data Engineer Associate

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Publisher : Nasir Arslan

Price : $209

Course Language : English

Requirements

  • Prerequisites:
  • Familiarity with any database system and basic proficiency in SQL is good to have.
  • A foundational knowledge of data formats is expected. e.g csv etc

Description

This course is ideal for students aspiring to achieve the "Microsoft Certified: Azure Data Engineer Associate" certification.

It includes comprehensive content aligned with the DP-203 exam.

The course objectives focus on the following areas:

  • Design and implement data storage (15–20%)

  • Develop data processing (40–45%)

  • Secure, monitor, and optimize data storage and data processing (30–35%)

This Course structure organizes the course into a logical progression while providing a clear breakdown of the covered topics. Here’s is the structured outline of the course sections:
1. Introduction and Setup

  • Overview of the course and initial setup.

2. Design and Implement Data Storage

  • Azure Data Lake: Understanding and implementing data storage with Azure Data Lake.

  • Azure SQL Server: Designing storage solutions using Azure SQL Server.

  • Cosmos DB: Exploring storage capabilities with Cosmos DB.

  • Azure Synapse Analytics: Building and managing storage in Azure Synapse Analytics.

3. Develop Data Processing

  • Azure Synapse Spark Pool: Leveraging Spark pools in Azure Synapse for data processing.

  • Azure Data Factory: Developing ETL pipelines and data flows in Azure Data Factory.

  • Azure Databricks: Implementing data processing workflows with Azure Databricks.

  • Azure Event Hubs: Streaming and processing real-time data using Azure Event Hubs.

  • Azure Stream Analytics: Real-time data stream processing with SQL-based queries.

4. Secure Your Data

  • Azure Data Lake Security: Implementing security best practices for Azure Data Lake.

  • Azure Synapse Analytics Security: Securing data in Azure Synapse Analytics.

  • Azure Data Factory and Databricks Security: Ensuring secure data workflows in Azure Data Factory and Databricks.

4. Monitor and Optimize

  • Azure Data Lake Storage: Monitoring and optimizing storage performance.

  • Azure Data Factory: Ensuring efficient operations with monitoring tools.

  • Azure Synapse Analytics: Performance tuning and monitoring analytics workloads.

  • Azure Stream Analytics and Cosmos DB: Streamlining data streams and database operations.

  • Data Governance with Microsoft Purview: Managing and governing data using Microsoft Purview.

5. Exam Preparation

  • Past Papers and Practice: Access to 500 exam questions to solidify knowledge and prepare for certification.

Who this course is for:

  • If you want to boost your career in the field of data engineering.
  • Professional who will like to transform yourself into a skilled data engineer, this course is for you.
  • Mastering DP-203 empowers you to build analytical solutions using Microsoft Azure's data platform technologies, paving the way for a successful career in data engineering.
  • This course is tailored for data professionals, and BI and Data Analytics specialists aiming to deepen their knowledge of data engineering.
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