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 Watford

Watford is a town located in Hertfordshire, England, located 17 miles to the northwest of central London .

The town developed on the River Colne on land that belonged until the 16th century to St Albans Abbey . During the 12th century a charter was granted allowing a market and building St Mary's Church began. The town grew modestly. It was assisted by travellers passing through to Berkhamsted Castle and the royal palace at Kings Langley. A big house was built at Cassiobury in the 16th century. This was partly rebuilt in the 17th century and another substantial house was built nearby at The Grove. Connections with the Grand Junction Canal and the London and Birmingham Railway allowed the town to grow more rapidly. The paper-making mills, such as John Dickinson and Co. at Croxley, influencing the development of printing in the town which continues today. Two brewers Benskins and Sedgwicks flourished in the suburb until their closure in the late 20th century. Both the 2006 World Golf Championship and the 2013 Bilderberg Conference took place at The Grove.

Watford is first cited in an Anglo-Saxon charter of 1007 as one of the places marking the boundary of "Oxanhaege".

The Industrial revolution

For many centuries, Watford relied on agriculture. The Industrial Revolution brought the Grand Junction in 1798 and the London and Birmingham Railway in 1837. The land-owning interests permitted the canal to follow closely by the river Gade. Although the road and canal follow the easier valley route, the railway company was forced to build an expensive tunnel.

Parks

There are 43 public parks, gardens, recreation grounds and allotments in Watford. Of these, eight have been awarded a Green Flag, in recognition of their quality.

· Cassiobury Park

· Cheslyn House and Gardens

· Woodside Park

Theatres

· Watford Colosseum

· Watford Palace Theatre

· The Pump House

Sports

Watford is home to professional football team Watford F.C., who reached the 1984 FA Cup Final. They won the Nationwide Division Two championship in 1998. In the following season (1998–99) they reached the Premier League. The club was relegated the next season. After five years of uncertainty, Watford won the Football League Championship Play-Off Final. This helped them achieve promotion to the Premier League in 2006, this time beating Leeds United A.F.C. by three goals to nil. The club was relegated to the Football League Championship after a single season (2006–2007) in the Premier League. They were promoted to the Premier League in 2015, after finishing 2nd in the Championship. Singer-songwriter Sir Elton John is a keen, long-term supporter of Watford F.C. and a former club chairman. He still maintains his links with Watford as Honorary Life President. Between 1997 and 2013 the club shared its ground, Vicarage Road, with Saracens Rugby Football Club.

Watford has a Non-League football team Sun Sports F.C. who play at The Sun Postal Sports & Social Club. Watford were home to the Watford Cheetahs American Football team. The team played their home games at Fullerians R.F.C. between 2008 and 2012. Glen Rovers, are another team who play both Hurling and Gaelic Football in Watford. The town also has a cricket team, Watford Town, and several Sunday League football clubs.