DP-203T00 - Data Engineering on Microsoft Azure

Course Description

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.
4 Days
Contact us for pricing
 

Who should attend

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.

Pre-requisites

Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.
Specifically completing:
AZ-900 - Azure Fundamentals
DP-900 - Microsoft Azure Data Fundamentals

Skills gained

Explore compute and storage options for data engineering workloads in Azure
Run interactive queries using serverless SQL pools
Perform data Exploration and Transformation in Azure Databricks
Explore, transform, and load data into the Data Warehouse using Apache Spark
Ingest and load Data into the Data Warehouse
Transform Data with Azure Data Factory or Azure Synapse Pipelines
Integrate Data from Notebooks with Azure Data Factory or Azure Synapse Pipelines
Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
Perform end-to-end security with Azure Synapse Analytics
Perform real-time Stream Processing with Stream Analytics
Create a Stream Processing Solution with Event Hubs and Azure Databricks

Summary of Modules covered

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
Analyze data with Apache Spark in Azure Synapse Analytics
Transform data with Spark in Azure Synapse Analytics
Use Delta Lake in Azure Synapse Analytics
Analyze data in a relational data warehouse
Load data into a relational data warehouse
Build a data pipeline in Azure Synapse Analytics
Use Spark Notebooks in an Azure Synapse Pipeline
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
Introduction to Microsoft Purview
Integrate Microsoft Purview and Azure Synapse Analytics
Explore Azure Databricks
Use Apache Spark in Azure Databricks
Run Azure Databricks Notebooks with Azure Data Factory
Microsoft AzureAzureDP-203Apache SparkCosmos DBAzure Synapse AnalyticsAzure Stream AnalyticsCloud ComputingAzure SQL