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DP-203T00: Data Engineering on Microsoft Azure
Microsoft

DP-203T00: Data Engineering on Microsoft Azure

Juned Alam Juned Alam
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Overview
Curriculum
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  • 9 Sections
  • 24 Lessons
  • 32h Duration
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Module01 : Get started with data engineering on Azure
3 Lessons
  1. Lesson01: Introduction to data engineering on Azure
  2. Lesson02: Introduction to Azure Data Lake Storage Gen2
  3. Lesson03: Introduction to Azure Synapse Analytics
Module02 : Build data analytics solutions using Azure Synapse Analytics serverless SQL pools
3 Lessons
  1. Lesson01 : Use a serverless SQL pool to query files in a data lake
  2. Lesson02 : Use a serverless SQL pool to transform data
  3. Lesson03 : Create a lake database
Module03 : Perform data engineering with Azure Synapse Apache Spark Pools
3 Lessons
  1. Lesson01 : Analyze data with Apache Spark in Azure Synapse Analytics
  2. Lesson02 : Transform data with Apache Spark in Azure Synapse Analytics
  3. Lesson03 : Use Delta Lake in Azure Synapse Analytics
Module04 : Work with data warehouses using Azure Synapse Analytics
2 Lessons
  1. Lesson01 : Analyze data in a relational data warehouse
  2. Lesson02 : Load data into a relational data warehouse
Module05 : Transfer and transform data with Azure Synapse Analytics Pipelines
2 Lessons
  1. Lesson01 :Build a data pipeline in Azure Synapse Analytics
  2. Lesson02 : Use Spark Notebooks in an Azure Synapse Pipeline
Module06 : Work with hybrid transactional and analytical processing (HTAP) Solutions using Azure Synapse Analytics
3 Lessons
  1. Lesson01: Plan hybrid transactional and analytical processing
  2. Lesson02: Implement Azure Synapse Link with Azure Cosmos DB
  3. Lesson03: Implement Azure Synapse Link for SQL
Module07 :Implement a data streaming solution with Azure Stream Analytics
3 Lessons
  1. Lesson01 :Get started with Azure Stream Analytics
  2. Lesson02 :Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
  3. Lesson03 :Visualise real-time data with Azure Stream Analytics and Power BI
Module08 :Govern data across an enterprise
2 Lessons
  1. Lesson01 : Introduction to Microsoft Purview
  2. Lesson02 : Integrate Microsoft Purview and Azure Synapse Analytics
Module09 : Data engineering with Azure Databricks
3 Lessons
  1. Lesson01 : Explore Azure Databricks
  2. Lesson02 : Use Apache Spark in Azure Databricks
  3. Lesson03 : Run Azure Databricks notebooks in Azure Data Factory

The Microsoft Azure Data Engineering certification assesses an individual's capacity to create and execute data solutions on Microsoft's cloud platform, Azure. This certification requires proficiency in a range of data platform technologies, encompassing data storage, data processing, data security, and troubleshooting strategies. In the business world, data engineers possessing this certification play a crucial role in translating organizational requirements into dependable, scalable, and secure solutions. They leverage Azure's array of data services, which includes Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics, to facilitate business analytics and AI capabilities, ultimately enhancing operational effectiveness and productivity.

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