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Description
Content
Intendent To
Certificates

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.

LEARNING PATH 1
Get started with data engineering on Azure

Module 1: Introduction to data engineering on Azure
Module 2: Introduction to Azure Data Lake Storage Gen2
Module 3: Introduction to Azure Synapse Analytics

LEARNING PATH 2
Build data analytics solutions using Azure Synapse serverless SQL pools

Module 1: Use Azure Synapse serverless SQL pool to query files in a data lake
Module 2: Use Azure Synapse serverless SQL pools to transform data in a data lake
Module 3: Create a lake database in Azure Synapse Analytics
Module 4: Secure data and manage users in Azure Synapse serverless SQL pools

LEARNING PATH 3
Perform data engineering with Azure Synapse Apache Spark Pools

Module 1: Analyze data with Apache Spark in Azure Synapse Analytics
Module 2: Transform data with Spark in Azure Synapse Analytics
Module 3: Use Delta Lake in Azure Synapse Analytics

LEARNING PATH 4
Work with Data Warehouses using Azure Synapse Analytics

Module 1: Analyze data in a relational data warehouse
Module 2: Load data into a relational data warehouse
Module 3: Manage and monitor data warehouse activities in Azure Synapse Analytics
Module 4: Secure a data warehouse in Azure Synapse Analytics

LEARNING PATH 5
Transfer and transform data with Azure Synapse Analytics pipelines

Module 1: Build a data pipeline in Azure Synapse Analytics
Module 2: Use Spark Notebooks in an Azure Synapse Pipeline

LEARNING PATH 6
Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics

Module 1: Plan hybrid transactional and analytical processing using Azure Synapse Analytics
Module 2: Implement Azure Synapse Link with Azure Cosmos DB
Module 3: Implement Azure Synapse Link for SQL

LEARNING PATH 7
Implement a Data Streaming Solution with Azure Stream Analytics

Module 1: Get started with Azure Stream Analytics
Module 2: Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
Module 3: Visualize real-time data with Azure Stream Analytics and Power BI

LEARNING PATH 8
Govern data across an enterprise

Module 1: Introduction to Microsoft Purview
Module 2: Discover trusted data using Microsoft Purview
Module 3: Catalog data artifacts by using Microsoft Purview
Module 4: Manage Power BI assets by using Microsoft Purview
Module 5: Integrate Microsoft Purview and Azure Synapse Analytics

LEARNING PATH 9
Implement a Data Analytics Solution with Azure Databricks

Module 1: Explore Azure Databricks
Module 2: Use Apache Spark in Azure Databricks
Module 3: Use Delta Lake in Azure Databricks
Module 4: Use SQL Warehouses in Azure Databricks
Module 5: Run Azure Databricks Notebooks with Azure Data Factory

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.

Microsoft Certified: Azure Data Engineer Associate after successful completion of the Exam DP-203: Data Engineering on Microsoft Azure

Description

Content

LEARNING PATH 1
Get started with data engineering on Azure

Module 1: Introduction to data engineering on Azure
Module 2: Introduction to Azure Data Lake Storage Gen2
Module 3: Introduction to Azure Synapse Analytics

LEARNING PATH 2
Build data analytics solutions using Azure Synapse serverless SQL pools

Module 1: Use Azure Synapse serverless SQL pool to query files in a data lake
Module 2: Use Azure Synapse serverless SQL pools to transform data in a data lake
Module 3: Create a lake database in Azure Synapse Analytics
Module 4: Secure data and manage users in Azure Synapse serverless SQL pools

LEARNING PATH 3
Perform data engineering with Azure Synapse Apache Spark Pools

Module 1: Analyze data with Apache Spark in Azure Synapse Analytics
Module 2: Transform data with Spark in Azure Synapse Analytics
Module 3: Use Delta Lake in Azure Synapse Analytics

LEARNING PATH 4
Work with Data Warehouses using Azure Synapse Analytics

Module 1: Analyze data in a relational data warehouse
Module 2: Load data into a relational data warehouse
Module 3: Manage and monitor data warehouse activities in Azure Synapse Analytics
Module 4: Secure a data warehouse in Azure Synapse Analytics

LEARNING PATH 5
Transfer and transform data with Azure Synapse Analytics pipelines

Module 1: Build a data pipeline in Azure Synapse Analytics
Module 2: Use Spark Notebooks in an Azure Synapse Pipeline

LEARNING PATH 6
Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics

Module 1: Plan hybrid transactional and analytical processing using Azure Synapse Analytics
Module 2: Implement Azure Synapse Link with Azure Cosmos DB
Module 3: Implement Azure Synapse Link for SQL

LEARNING PATH 7
Implement a Data Streaming Solution with Azure Stream Analytics

Module 1: Get started with Azure Stream Analytics
Module 2: Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics
Module 3: Visualize real-time data with Azure Stream Analytics and Power BI

LEARNING PATH 8
Govern data across an enterprise

Module 1: Introduction to Microsoft Purview
Module 2: Discover trusted data using Microsoft Purview
Module 3: Catalog data artifacts by using Microsoft Purview
Module 4: Manage Power BI assets by using Microsoft Purview
Module 5: Integrate Microsoft Purview and Azure Synapse Analytics

LEARNING PATH 9
Implement a Data Analytics Solution with Azure Databricks

Module 1: Explore Azure Databricks
Module 2: Use Apache Spark in Azure Databricks
Module 3: Use Delta Lake in Azure Databricks
Module 4: Use SQL Warehouses in Azure Databricks
Module 5: Run Azure Databricks Notebooks with Azure Data Factory

Intendent To

The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.

Certificates

Microsoft Certified: Azure Data Engineer Associate after successful completion of the Exam DP-203: Data Engineering on Microsoft Azure

Past experiences

What people say about us

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Meet the instructors

Dejan Vakanski
Microsoft Certified Trainer

Data Consultant,

Data Scientist @Semos Education

22+ years of experience
Aleksandar Talev
Microsoft Certified Trainer

Senior Business Intelligence Consultant

@HSO Global Services Macedonia

25+ years of experience
Simka Janevska
Microsoft Certified Trainer

Data and Analytics Engineer @Qinshift

1+ years of experience