Implementing an Azure Data Solution

Session Detail:    Classroom, Virtual 3 Day

In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.
The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.

Prerequisites

In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:

  • Azure fundamentals

Who Can Benefit

The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.

The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.

Session Outline

Class Outline

Module 1: Azure for the Data Engineer

  • Lesson 1: Explain the evolving world of data
  • Lesson 2: Survey the services in the Azure Data Platform
  • Lesson 3: Identify the tasks that are performed by a Data Engineer
  • Lesson 4: Describe the use cases for the cloud in a Case Study

After completing this module, students will be able to:

  • 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

Module 2: Working with Data Storage

  • Lesson 1: Choose a data storage approach in Azure
  • Lesson 2: Create an Azure Storage Account
  • Lesson 3: Explain Azure Data Lake storage
  • Lesson 4: Upload data into Azure Data Lake

After completing this module, students will be able to:

  • Choose a data storage approach in Azure
  • Create an Azure Storage Account
  • Explain Azure Data Lake Storage
  • Upload data into Azure Data Lake

Module 3: Enabling Team Based Data Science with Azure Databricks

  • Lesson 1: Explain Azure Databricks
  • Lesson 2: Work with Azure Databricks
  • Lesson 3: Read data with Azure Databricks
  • Lesson 4: Perform transformations with Azure Databricks

After completing this module, students will be able to:

  • Explain Azure Databricks
  • Work with Azure Databricks
  • Read data with Azure Databricks
  • Perform transformations with Azure Databricks

Module 4: Building Globally Distributed Databases with Cosmos DB

  • Lesson 1: Create an Azure Cosmos DB database built to scale
  • Lesson 2: Insert and query data in your Azure Cosmos DB database
  • Lesson 3: Build a .NET Core app for Cosmos DB in Visual Studio Code
  • Lesson 4: Distribute your data globally with Azure Cosmos DB

After completing this module, students will be able to:

  • 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 Azure Cosmos DB in Visual Studio Code
  • Distribute your data globally with Azure Cosmos DB

Module 5: Working with Relational Data Stores in the Cloud

  • Lesson 1: Use Azure SQL Database
  • Lesson 2: Describe Azure SQL Data Warehouse
  • Lesson 3: Creating and Querying an Azure SQL Data Warehouse
  • Lesson 4: Use PolyBase to Load Data into Azure SQL Data Warehouse

After completing this module, students will be able to:

  • Use Azure SQL Database
  • Describe Azure Data Warehouse
  • Creating and Querying an Azure SQL Data Warehouse
  • Using PolyBase to Load Data into Azure SQL Data Warehouse

Module 6: Performing Real-Time Analytics with Stream Analytics

  • Lesson 1: Explain data streams and event processing
  • Lesson 2: Data Ingestion with Event Hubs
  • Lesson 3: Processing Data with Stream Analytics Jobs

After completing this module, students will be able to:

  • Explain data streams and event processing
  • Data Ingestion with Event Hubs
  • Processing Data with Stream Analytics Jobs

Module 7: Orchestrating Data Movement with Azure Data Factory

  • Lesson 1: Explain how Azure Data Factory works
  • Lesson 2: Azure Data Factory Components
  • Lesson 3: Azure Data Factory and Databricks

After completing this module, students will be able to:

  • AzureData Factory and Databricks
  • Azure Data Factory Components
  • Explain how Azure Data Factory works

Module 8: Securing Azure Data Platforms

  • Lesson 1: An introduction to security
  • Lesson 2: Key security components
  • Lesson 3: Securing Storage Accounts and Data Lake Storage
  • Lesson 4: Securing Data Stores
  • Lesson 5: Securing Streaming Data

After completing this module, students will be able to:

  • An introduction to security
  • Key security components
  • Securing Storage Accounts and Data Lake Storage
  • Securing Data Stores
  • Securing Streaming Data

Module 9: Monitoring and Troubleshooting Data Storage and Processing

  • Lesson 1: Explain the monitoring capabilities that are available
  • Lesson 2: Troubleshoot common data storage issues
  • Lesson 3: Troubleshoot common data processing issues
  • Lesson 4: Manage disaster recovery

After completing this module, students will be able to:

  • Explain the monitoring capabilities that are available
  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  • Manage disaster recovery

Need to train your team?

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Implementing an Azure Data Solution

3 Day
Classroom, Virtual

$2,095.00

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