DP-203T00: Data Engineering on Microsoft Azure DP-203T00

In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

Difficulty Level: Intermediate

Product: Azure

Role: Data Engineer

DP-203T00: Data Engineering on Microsoft Azure DP-203T00

Virtual Instructor Led Online Schedule

Virtual Instructor-Led Online Training

Duration

4 Days

Price

$2,495.00

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Course Schedule

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Course Outline

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Introduction to data engineering on Azure
Introduction to Azure Data Lake Storage Gen2
Introduction to Azure Synapse Analytics

Use Azure Synapse serverless SQL pool to query files in a data lake
Use Azure Synapse serverless SQL pools to transform data in a data lake
Create a lake database in Azure Synapse Analytics
Secure data and manage users in Azure Synapse serverless SQL pools

Analyze data with Apache Spark in Azure Synapse Analytics
Transform data with Spark in Azure Synapse Analytics
Use Delta Lake in Azure Synapse Analytics

Build a data pipeline in Azure Synapse Analytics
Use Spark Notebooks in an Azure Synapse Pipeline

Introduction to Azure Synapse Analytics
Use Azure Synapse serverless SQL pool to query files in a data lake
Analyze data with Apache Spark in Azure Synapse Analytics
Use Delta Lake in Azure Synapse Analytics
Analyze data in a relational data warehouse
Build a data pipeline in Azure Synapse Analytics

Analyze data in a relational data warehouse
Load data into a relational data warehouse
Manage and monitor data warehouse activities in Azure Synapse Analytics
Secure a data warehouse in Azure Synapse Analytics

Plan hybrid transactional and analytical processing using Azure Synapse Analytics
Implement Azure Synapse Link with Azure Cosmos DB
Implement Azure Synapse Link for SQL

Get started with Azure Stream Analytics
Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
Visualize real-time data with Azure Stream Analytics and Power BI

Explore Azure Databricks
Perform data analysis with Azure Databricks
Use Apache Spark in Azure Databricks
Manage data with Delta Lake
Build Lakeflow Declarative Pipelines
Deploy workloads with Lakeflow Jobs