DP-203T00 Data Engineering on Microsoft Azure

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Course Overview

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.

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.

Course Outline

1 - Introduction to data engineering on Azure

  • What is data engineering
  • Important data engineering concepts
  • Data engineering in Microsoft Azure

2 - Introduction to Azure Data Lake Storage Gen2

  • Understand Azure Data Lake Storage Gen2
  • Enable Azure Data Lake Storage Gen2 in Azure Storage
  • Compare Azure Data Lake Store to Azure Blob storage
  • Understand the stages for processing big data
  • Use Azure Data Lake Storage Gen2 in data analytics workloads

3 - Introduction to Azure Synapse Analytics

  • What is Azure Synapse Analytics
  • How Azure Synapse Analytics works
  • When to use Azure Synapse Analytics

4 - Use Azure Synapse serverless SQL pool to query files in a data lake

  • Understand Azure Synapse serverless SQL pool capabilities and use cases
  • Query files using a serverless SQL pool
  • Create external database objects

5 - Use Azure Synapse serverless SQL pools to transform data in a data lake

  • Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement
  • Encapsulate data transformations in a stored procedure
  • Include a data transformation stored procedure in a pipeline

6 - Create a lake database in Azure Synapse Analytics

  • Understand lake database concepts
  • Explore database templates
  • Create a lake database
  • Use a lake database

7 - Secure data and manage users in Azure Synapse serverless SQL pools

  • Choose an authentication method in Azure Synapse serverless SQL pools
  • Manage users in Azure Synapse serverless SQL pools
  • Manage user permissions in Azure Synapse serverless SQL pools

8 - Secure data and manage users in Azure Synapse serverless SQL pools

  • Choose an authentication method in Azure Synapse serverless SQL pools
  • Manage users in Azure Synapse serverless SQL pools
  • Manage user permissions in Azure Synapse serverless SQL pools

9 - Analyze data with Apache Spark in Azure Synapse Analytics

  • Get to know Apache Spark
  • Use Spark in Azure Synapse Analytics
  • Analyze data with Spark
  • Visualize data with Spark

10 - Transform data with Spark in Azure Synapse Analytics

  • Modify and save dataframes
  • Partition data files
  • Transform data with SQL

11 - Use Delta Lake in Azure Synapse Analytics

  • Understand Delta Lake
  • Create Delta Lake tables
  • Create catalog tables
  • Use Delta Lake with streaming data
  • Use Delta Lake in a SQL pool

12 - Build a data pipeline in Azure Synapse Analytics

  • Understand pipelines in Azure Synapse Analytics
  • Create a pipeline in Azure Synapse Studio
  • Define data flows
  • Run a pipeline

13 - Use Spark Notebooks in an Azure Synapse Pipeline

  • Understand Synapse Notebooks and Pipelines
  • Use a Synapse notebook activity in a pipeline
  • Use parameters in a notebook

14 - Introduction to Azure Synapse Analytics

  • What is Azure Synapse Analytics
  • How Azure Synapse Analytics works
  • When to use Azure Synapse Analytics

15 - Use Azure Synapse serverless SQL pool to query files in a data lake

  • Understand Azure Synapse serverless SQL pool capabilities and use cases
  • Query files using a serverless SQL pool
  • Create external database objects

16 - Analyze data with Apache Spark in Azure Synapse Analytics

  • Get to know Apache Spark
  • Use Spark in Azure Synapse Analytics
  • Analyze data with Spark
  • Visualize data with Spark

17 - Use Delta Lake in Azure Synapse Analytics

  • Understand Delta Lake
  • Create Delta Lake tables
  • Create catalog tables
  • Use Delta Lake with streaming data
  • Use Delta Lake in a SQL pool

18 - Analyze data in a relational data warehouse

  • Design a data warehouse schema
  • Create data warehouse tables
  • Load data warehouse tables
  • Query a data warehouse

19 - Build a data pipeline in Azure Synapse Analytics

  • Understand pipelines in Azure Synapse Analytics
  • Create a pipeline in Azure Synapse Studio
  • Define data flows
  • Run a pipeline

20 - Analyze data in a relational data warehouse

  • Design a data warehouse schema
  • Create data warehouse tables
  • Load data warehouse tables
  • Query a data warehouse

21 - Load data into a relational data warehouse

  • Load staging tables
  • Load dimension tables
  • Load time dimension tables
  • Load slowly changing dimensions
  • Load fact tables
  • Perform post load optimization

22 - Manage and monitor data warehouse activities in Azure Synapse Analytics

  • Scale compute resources in Azure Synapse Analytics
  • Pause compute in Azure Synapse Analytics
  • Manage workloads in Azure Synapse Analytics
  • Use Azure Advisor to review recommendations
  • Use dynamic management views to identify and troubleshoot query performance

23 - Secure a data warehouse in Azure Synapse Analytics

  • Understand network security options for Azure Synapse Analytics
  • Configure Conditional Access
  • Configure authentication
  • Manage authorization through column and row level security
  • Manage sensitive data with Dynamic Data Masking
  • Implement encryption in Azure Synapse Analytics

24 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics

  • Understand hybrid transactional and analytical processing patterns
  • Describe Azure Synapse Link

25 - Implement Azure Synapse Link with Azure Cosmos DB

  • Enable Cosmos DB account to use Azure Synapse Link
  • Create an analytical store enabled container
  • Create a linked service for Cosmos DB
  • Query Cosmos DB data with Spark
  • Query Cosmos DB with Synapse SQL

26 - Implement Azure Synapse Link for SQL

  • What is Azure Synapse Link for SQL?
  • Configure Azure Synapse Link for Azure SQL Database
  • Configure Azure Synapse Link for SQL Server 2022

27 - Get started with Azure Stream Analytics

  • Understand data streams
  • Understand event processing
  • Understand window functions

28 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics

  • Stream ingestion scenarios
  • Configure inputs and outputs
  • Define a query to select, filter, and aggregate data
  • Run a job to ingest data

29 - Visualize real-time data with Azure Stream Analytics and Power BI

  • Use a Power BI output in Azure Stream Analytics
  • Create a query for real-time visualization
  • Create real-time data visualizations in Power BI

30 - Explore Azure Databricks

  • Get started with Azure Databricks
  • Identify Azure Databricks workloads
  • Understand key concepts
  • Data governance using Unity Catalog and Microsoft Purview

31 - Perform data analysis with Azure Databricks

  • Ingest data with Azure Databricks
  • Data exploration tools in Azure Databricks
  • Data analysis using DataFrame APIs

32 - Use Apache Spark in Azure Databricks

  • Get to know Spark
  • Create a Spark cluster
  • Use Spark in notebooks
  • Use Spark to work with data files
  • Visualize data

33 - Manage data with Delta Lake

  • Get started with Delta Lake
  • Manage ACID transactions
  • Implement schema enforcement
  • Data versioning and time travel in Delta Lake
  • Data integrity with Delta Lake

34 - Build data pipelines with Delta Live Tables

  • Explore Delta Live Tables
  • Data ingestion and integration
  • Real-time processing

35 - Deploy workloads with Azure Databricks Workflows

  • What are Azure Databricks Workflows?
  • Understand key components of Azure Databricks Workflows
  • Explore the benefits of Azure Databricks Workflows
  • Deploy workloads using Azure Databricks Workflows

36 - Introduction to Microsoft Purview

  • What is Microsoft Purview?
  • How Microsoft Purview works
  • When to use Microsoft Purview

37 - Discover trusted data using Microsoft Purview

  • Search for assets
  • Browse assets
  • Use assets with Power BI
  • Integrate with Azure Synapse Analytics

38 - Catalog data artifacts by using Microsoft Purview

  • Register and scan data
  • Classify and label data
  • Search the data catalog

39 - Manage Power BI assets by using Microsoft Purview

  • Register and scan a Power BI tenant
  • Search and browse Power BI assets
  • View Power BI metadata and lineage

40 - Integrate Microsoft Purview and Azure Synapse Analytics

  • Catalog Azure Synapse Analytics data assets in Microsoft Purview
  • Connect Microsoft Purview to an Azure Synapse Analytics workspace
  • Search a Purview catalog in Synapse Studio
  • Track data lineage in pipelines

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Class Dates & Times

Class times are listed Central time

This is a 4-day class

Register When Time
 Register 12/09/2024 8:00AM - 4:00PM
 Register 02/11/2025 8:00AM - 4:00PM
 Register 04/15/2025 8:00AM - 4:00PM
 Register 06/16/2025 8:00AM - 4:00PM