Implementing an Azure Data Solution

Learn To Use Azure To Meet Data Requirements

Learn how to use Azure for data solutions
Prepare for the Implementing an Azure Data Solution exam
Taught by Microsoft Certified Trainers
Includes official Microsoft material

Who should take this course

Data professionals, data architects, and business intelligence experts who want to learn more about Microsoft Azure's data platform technologies and Develop applications that deliver content from Microsoft Azure's data platform technologies.

Prerequisites

There are no prerequisites.

Course Overview

In this course, delegates will learn how to implement various data platform technologies in solutions that meet business and technical needs, including on-premise, cloud, and hybrid data scenarios, which include both relational and no-SQL data. Delegates will also learn how to process data using a range of technologies and languages for both streaming and batch data.

This course explores how to implement data security, including authentication, authorisation, data policies and standards, and implement data solution monitoring for both data storage and data processing. Eventually, they will manage and troubleshoot Azure data solutions, including optimising and restoring large volumes of data, batch processing, and streaming data solutions.

This role-based course can be used to prepare for certification as a Microsoft Azure Data Engineer.

Course Content

Module 1: Azure for the Data Engineer

This module explores how the world of data has evolved and how cloud datAudiencea platform technologies are providing new opportunities for business to explore their data in different ways. The student will gain an overview of the various data platform technologies that are available, and how a Data Engineers role and responsibilities has evolved to work in this new world to an organization benefit

Lessons

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

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

Module 2: Working with Data Storage

This module teaches the variety of ways to store data in Azure. The Student will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud. They will also understand how data lake storage can be created to support a wide variety of big data analytics solutions with minimal effort.

Lessons

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

Module 3: Enabling Team Based Data Science with Azure Databricks

This module introduces students to Azure Databricks and how a Data Engineer works with it to enable an organization to perform Team Data Science projects. They will learn the fundamentals of Azure Databricks and Apache Spark notebooks; how to provision the service and workspaces and learn how to perform data preparation task that can contribute to the data science project.

Lessons

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

Module 4: Building Globally Distributed Databases with Cosmos DB

In this module, students will learn how to work with NoSQL data using Azure Cosmos DB. They will learn how to provision the service, and how they can load and interrogate data in the service using Visual Studio Code extensions, and the Azure Cosmos DB .NET Core SDK. They will also learn how to configure the availability options so that users are able to access the data from anywhere in the world.

Lessons

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

Module 5: Working with Relational Data Stores in the Cloud

In this module, students will explore the Azure relational data platform options including SQL Database and SQL Data Warehouse. The student will be able explain why they would choose one service over another, and how to provision, connect and manage each of the services.

Lessons

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

Module 6: Performing Real-Time Analytics with Stream Analytics

In this module, students will learn the concepts of event processing and streaming data and how this applies to Events Hubs and Azure Stream Analytics. The students will then set up a stream analytics job to stream data and learn how to query the incoming data to perform analysis of the data. Finally, you will learn how to manage and monitor running jobs.

Lessons

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

Module 7: Orchestrating Data Movement with Azure Data Factory

In this module, students will learn how Azure Data factory can be used to orchestrate the data movement and transformation from a wide range of data platform technologies. They will be able to explain the capabilities of the technology and be able to set up an end to end data pipeline that ingests and transforms data.

Lessons

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

Module 8: Securing Azure Data Platforms

In this module, students will learn how Azure provides a multi-layered security model to protect your data. The students will explore how security can range from setting up secure networks and access keys, to defining permission through to monitoring across a range of data stores.

Lessons

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

Module 9: Monitoring and Troubleshooting Data Storage and Processing

In this module, the student will get an overview of the range of monitoring capabilities that are available to provide operational support should there be issue with a data platform architecture. They will explore the common data storage and data processing issues. Finally, disaster recovery options are revealed to ensure business continuity.

Lessons

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

About Manchester

Manchester (fortified town) is a city in Greater Manchester, England, with a population of 530,300 (in 2015). It lies within the United Kingdom's second most populous urban area, with a population of 2.55 million. Manchester is bordered by the Cheshire Plain to the south, the Pennines to the north and east. The local authority is Manchester City Council.

Manchester began with the civilian settlement associated with the Roman fort of Mamucium or Mancunium in about AD 79. It is aid to have been located on a sandstone bluff near the confluence of the rivers Medlock and Irwell. Historically a part of Lancashire, areas of Cheshire south of the River Mersey were incorporated in the 20th century. Throughout the Middle Ages Manchester remained a manorial township. It began to expand "at an astonishing rate" only around the turn of the 19th century. Manchester's unplanned urbanisation came due to a boom in textile manufacture . This and resulted in Manchester becoming the world's first industrialised city.

Manchester achieved city status in 1853. The Manchester Ship Canal opened in 1894, creating the Port of Manchester and linking the place to the sea, 36 miles (58 km) to the west. Its fortunes declined after the Second World War, but the IRA bombing in 1996 led to extensive investment and regeneration.

In 2014, Manchester was ranked as a beta world city, the highest-ranked British city apart from London.

Economy

The economy grew relatively strongly between 2002 and 2012, where growth was 2.3% above the national average. With a GDP of $88.3bn (2012 est., PPP) the wider urban economy is the third-largest in the United Kingdom. In 2012 it showed the strongest annual growth in business stock (5%) of all the Core Cities.

Landmarks

Manchester's buildings display a variety of architectural styles, ranging from Victorian to contemporary architecture. Manchester is home to a number of skyscraperswith the tallest being the Beetham Tower was completed in 2006. Outside London it has been described as the United Kingdom's only real skyscraper outside the capital. The award-winning Heaton Park is one of the largest municipal parks in Europe. The city has 135 parks, gardens, and open spaces.

Two large squares hold many of Manchester's public monuments. Albert Square and the Picaddily Gardens have monuments to various prominent personalities.

Sport

Manchester is well known for being a city of sport. Two decorated Premier League football clubs bear the city name – Manchester United and Manchester City. Manchester United plays its home games at Old Trafford. Manchester City's home ground is the City of Manchester Stadium . The City of Manchester Stadium was initially built as the main athletics stadium for the 2002 Commonwealth Games. It was subsequently reconfigured into a football stadium before Manchester City's arrival. Manchester has hosted football competitions at all levels at the Fallowfield Stadium. The City of Manchester Stadium has also seen many international games being played. The city has hosted almost all the major football competions.