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 Glasgow

Glasgow

Glasgow is largest city located in Scotland and third largest in the United Kingdom. Earlier, it was a part of Lanark shire which is now one of the 32 council areas of Scotland. Glasgow is located on River Clyde in country’s west central lowlands. People of Glasgow are referred as Glaswegians. Glasgow developed from a small rural settlement on River Clyde. Glasgow had become largest seaport in Britain. In the 18th century, it became a major centre of Scottish Enlightenment. From the 18th century, Glasgow has grown as one of the Great Britain’s central hub of trade including West Indies and North America. Glasgow focused on its heritage to attract tourists from various countries. Tourism is also a source of employment in Glasgow. In 1980, Hunter Ian Art Gallery was opened. In 1983, Collection of Burrel went on display in a museum in Pollock House grounds. In 1985, Scottish Exhibition and Conference centre was built. Clyde Auditorium was also added in 1997.

In the period of 1980’s and 1990’s, traditional manufacturing industries of Glasgow dropped. Service industries grew in Glasgow like retail, tourism and finance. In 1990 Glasgow School Museum of Education was opened. St Mungo's Museum of Religious Life and Art was opened in the year 1993. In 1999, Buchanan Galleries Shopping centre and Clyde Maritime centre was opened. In early 21st century, Glasgow thrived. IMAX cinema was opened in 2000 and Clyde Arc Bridge in 2006. At present, the population of Glasgow is 588,000.

Education

Glasgow has four universities within 1.5km area of city centre. These universities are a major centre of academic and higher research. Name of the Universities are:

University of Glasgow

University of Strathclyde

Glasgow Caledonian University

The University of West of Scotland

Saltire centre located at Glasgow Caledonian University is one of the busiest university libraries in the UK. Three further education colleges are there in the city that includes Royal Conservatoire of Scotland, Glasgow School of Art and Teacher training courses. In 2011 Glasgow had around 53,470 students which is higher than any other town in Scotland. Many live away from home in Dennistoun, Shawlands and West End of City. City council handles 29 secondary schools, 149 primary schools and three special schools. Special schools including Glasgow Gaelic school, Glasgow school of sport and Dance school of Scotland. Glasgow has various independent schools like Hutchesons Grammar School which was founded in 1639. Hutchesons Grammar School is one of the oldest school institutions in Britain. The oldest school in Scotland are Glasgow Academy, Kelvinside Academy, High School of Glasgow, Fernhill School and Craigholme School.

Economy

Glasgow has the largest economy in Scotland and third highest GDP per capita of any city in the UK. The city itself provides 410,000 jobs in over 12000 companies. Between 2000 and 2005 around 153,000 jobs were created and growth rate reached 32%. The annual economic growth rate of Glasgow is 4.4% and is now second to London. Dominant industries like shipbuilding, heavy engineering gradually got replaced. Major manufacturing industries in the city are Clyde Blowers, Linn Products, William Grant and Sons, Aggreko, Weir Group, Whyle and Mackay, Albion Motors, British Polar Engines and Edrington Group. Glasgow was once a most important city in the UK for manufacturing which generated great wealth for the city. Glasgow is now the second most popular foreign tourist destination in Scotland. In the 21st century, some call centres in Glasgow grew substantially. City’s primary manufacturing industries include engineering, construction, shipbuilding, brewing and distilling, printing and publishing, chemicals, textiles and new growth sectors like software development, biotechnology and optoelectronics.