Course Outline

1.        Azure for the Data Engineer

  • Explain the evolving world of data
  • Survey the services in the Azure Data Platform
  • Identify the tasks that are performed by a Data Engineer
  • Describe the use cases for the cloud in a Case Study
  • Identify the evolving world of data
  • Determine the Azure Data Platform Services
  • Identify tasks to be performed by a Data Engineer
  • Finalize the data engineering deliverables

2.       Working with Data Storage

  • Choose a data storage approach in Azure
  • Create an Azure Storage Account
  • Explain Azure Data Lake storage
  • Upload data into Azure Data Lake
  • Lab: Working with Data Storage
  • Choose a data storage approach in Azure
  • Create a Storage Account
  • Explain Data Lake Storage
  • Upload data into Data Lake Store

3.       Enabling Team Based Data Science with Azure Databricks

  • Explain Azure Databricks
  • Work with Azure Databricks
  • Read data with Azure Databricks
  • Perform transformations with Azure Databricks
  • Lab: Enabling Team Based Data Science with Azure Databricks
  • Explain Azure Databricks
  • Work with Azure Databricks
  • Read data with Azure Databricks
  • Perform transformations with Azure Databricks

4.       Building Globally Distributed Databases with Cosmos DB

  • Create an Azure Cosmos DB database built to scale
  • Insert and query data in your Azure Cosmos DB database
  • Build a .NET Core app for Cosmos DB in Visual Studio Code
  • Distribute your data globally with Azure Cosmos DB
  • Lab: Building Globally Distributed Databases with Cosmos DB
  • Create an Azure Cosmos DB
  • Insert and query data in Azure Cosmos DB
  • Build a .Net Core App for Azure Cosmos DB using VS Code
  • Distribute data globally with Azure Cosmos DB

5.       Working with Relational Data Stores in the Cloud

  • Use Azure SQL Database
  • Describe Azure SQL Data Warehouse
  • Creating and Querying an Azure SQL Data Warehouse
  • Use PolyBase to Load Data into Azure SQL Data Warehouse
  • Lab: Working with Relational Data Stores in the Cloud
  • Use Azure SQL Database
  • Describe Azure SQL Data Warehouse
  • Creating and Querying an Azure SQL Data Warehouse
  • Use PolyBase to Load Data into Azure SQL Data Warehouse

6.       Performing Real-Time Analytics with Stream Analytics

  • Explain data streams and event processing
  • Data Ingestion with Event Hubs
  • Processing Data with Stream Analytics Jobs
  • Lab: Performing Real-Time Analytics with Stream Analytics
  • Explain data streams and event processing
  • Data Ingestion with Event Hubs
  • Processing Data with Stream Analytics Jobs

7.       Orchestrating Data Movement with Azure Data Factory

  • Explain how Azure Data Factory works
  • Azure Data Factory Components
  • Azure Data Factory and Databricks
  • Lab: Orchestrating Data Movement with Azure Data Factory
  • Explain how Data Factory Works
  • Azure Data Factory Components
  • Azure Data Factory and Databricks

8.       Securing Azure Data Platforms

  • An introduction to security
  • Key security components
  • Securing Storage Accounts and Data Lake Storage
  • Securing Data Stores
  • Securing Streaming Data
  • Lab: Securing Azure Data Platforms
  • An introduction to security
  • Key security components
  • Securing Storage Accounts and Data Lake Storage
  • Securing Data Stores
  • Securing Streaming Data

9.       Monitoring and Troubleshooting Data Storage and Processing

  • Explain the monitoring capabilities that are available
  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  • Manage disaster recovery
  • Lab: Monitoring and Troubleshooting Data Storage and Processing
  • Explain the monitoring capabilities that are available
  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  • Manage disaster recovery
 35 Hours

Number of participants



Price per participant

Testimonials (7)

Related Courses

ArcGIS for Spatial Analysis

14 Hours

ArcMap in ArcGIS

14 Hours

ArcGIS Pro for Spatial Analysis

14 Hours

ArcGIS with Python Scripting

14 Hours

QGIS for Geographic Information System

21 Hours

Advanced Data Analysis with TIBCO Spotfire

14 Hours

Introduction to Spotfire

14 Hours

AI-Driven Data Analysis with TIBCO Spotfire X

14 Hours

Data Analysis with SQL, Python and Spotfire

14 Hours

Sensu: Beginner to Advanced

14 Hours

Monitoring Your Resources with Munin

7 Hours

Automated Monitoring with Zabbix

14 Hours

Fluentd for Log Data Unification

14 Hours

Nagios Certified Administrator Preparation

21 Hours

Advanced Nagios

21 Hours

Related Categories

1