Implementing an Azure Data Solution

In this course, you 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 NoSQL data. You will also learn how to process data using a range of technologies and languages for both streaming and batch data.

You will also explore how to implement data security, including authentication, authorization, data policies, and standards. You will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, you will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions.


Outline

Module 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
  • Lab : Azure for the Data Engineer

Module 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

Module 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

Module 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 data globally with Azure Cosmos DB
  • Lab : Building Globally Distributed Databases with Cosmos DB

Module 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

Module 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

Module 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

Module 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

Module 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

Is this course for me?

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.

Contact Details

Expert CRM Services
Ground Floor, Unit 1, The Exchange
9 Station Road, Stansted
Essex
CM24 8BE
01279 263646 Contact us