Data Engineering on Microsoft Azure

Introduction to data engineering on Azure

This module describes how Microsoft Azure provides a comprehensive platform for data engineering.

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

Introduction to Azure Data Lake Storage Gen2

Discover how Data Lake Storage provides a repository where you can upload and store unstructured data bringing new efficiencies to processing big data analytics.

• 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

Introduction to Azure Synapse Analytics

Introduction to Azure Synapse Analytics

• What is Azure Synapse Analytics
• How Azure Synapse Analytics works
• When to use Azure Synapse Analytics
• Exercise - Explore Azure Synapse Analytics

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

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
• Exercise - Query files using a serverless SQL pool

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

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
• Exercise - Transform files using a serverless SQL pool

Create a lake database in Azure Synapse Analytics

Create a lake database in Azure Synapse Analytics

• Understand lake database concepts
• Explore database templates
• Create a lake database
• Use a lake database
• Exercise - Analyze data in a lake database

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
• Exercise - Analyze data with Spark

Transform data with Spark in Azure Synapse Analytics

Learn how to use Apache Spark pools in Azure Synapse Analytics to transform data.

• Modify and save dataframes
• Partition data files
• Transform data with SQL
• Exercise: Transform data with Spark in Azure Synapse Analytics

Use Delta Lake in Azure Synapse Analytics

Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture 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
• Exercise - Use Delta Lake in Azure Synapse Analytics

Analyze data in a relational data warehouse

• Design a data warehouse schema
• Create data warehouse tables
• Load data warehouse tables
• Query a data warehouse
• Exercise - Explore a data warehouse

Load data into a relational data warehouse

Learn how to load tables in a relational data warehouse that is hosted in a dedicated SQL pool in Azure Synapse Analytics.

• Load staging tables
• Load dimension tables
• Load time dimension tables
• Load slowly changing dimensions
• Load fact tables
• Perform post load optimization
• Exercise - load data into a relational data warehouse

Build a data pipeline in Azure Synapse Analytics

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
• Exercise - Build a data pipeline in Azure Synapse Analytics

Use Spark Notebooks in an Azure Synapse Pipeline

This module describes how Apache Spark notebooks can be integrated into an Azure Synapse Analytics pipeline.

• Understand Synapse Notebooks and Pipelines
• Use a Synapse notebook activity in a pipeline
• Use parameters in a notebook
• Exercise - Use an Apache Spark notebook in a pipeline

Plan hybrid transactional and analytical processing using Azure Synapse Analytics

Plan hybrid transactional and analytical processing using Azure Synapse Analytics

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

Implement Azure Synapse Link with Azure Cosmos DB

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
• Exercise - Implement Azure Synapse Link for Cosmos DB

Implement Azure Synapse Link for SQL

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
• Exercise - Implement Azure Synapse Link for SQL

Get started with Azure Stream Analytics

Get started with Azure Stream Analytics

• Understand data streams
• Understand event processing
• Understand window functions
• Exercise - Get started with Azure Stream Analytics

Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics

Azure Stream Analytics provides a real-time data processing engine that you can use to ingest streaming event data into Azure Synapse Analytics for further analysis and reporting.

• Stream ingestion scenarios
• Configure inputs and outputs
• Define a query to select, filter, and aggregate data
• Run a job to ingest data
• Exercise - Ingest streaming data into Azure Synapse Analytics

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

By combining the stream processing capabilities of Azure Stream Analytics and the data visualization capabilities of Microsoft Power BI, you can create real-time data dashboards.

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

Introduction to Microsoft Purview

Introduction to Microsoft Purview

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

Integrate Microsoft Purview and Azure Synapse Analytics

Learn how to integrate Microsoft Purview with Azure Synapse Analytics to improve data discoverability and lineage tracking.

• 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
• Exercise - Integrate Azure Synapse Analytics and Microsoft Purview

Explore Azure Databricks

Explore Azure Databricks

• Get started with Azure Databricks
• Identify Azure Databricks workloads
• Understand key concepts
• Exercise - Explore Azure Databricks

Use Apache Spark in Azure Databricks

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
• Exercise - Use Spark in Azure Databricks

Run Azure Databricks Notebooks with Azure Data Factory

Run Azure Databricks Notebooks with Azure Data Factory

• Understand Azure Databricks notebooks and pipelines
• Create a linked service for Azure Databricks
• Use a Notebook activity in a pipeline
• Use parameters in a notebook
• Exercise - Run an Azure Databricks Notebook with Azure Data Factory