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 Reading

Located in Berkshire, Reading is a large and historically significant town. It was an important center of trade as well as religion in the medieval period. The Reading Abbey, still has its 12th century abbey gateway and significant ruins intact. Due to the English Civil War the town was damaged severely, causing a significant loss in trade. Reading also played an important role in the Revolution of 1688. It is where the revolution's only significant military action was took place. The Great Western Railway , the brewing business, baking and seed growing all happened in 19th century. Now,Reading boasts of being a major commercial centre, that involves information technology and insurance. Reading has, despite its nearness to London, a net inward traveler flow.

Reading came up as a settlement way back in the 8th century. It had become the largest town in Berkshire by 1525 and had a population of around 5000 in the early 17th Century. It was in the 18th century that major iron works in the town came up and the city saw the growth of the brewing business for which Reading is known till date. It was in the 19th century that Reading saw the growth of manufacturing business also.

Economy

Reading is a vital commercial centre in the Thames Valley and Southern England. It is home to the headquarters of many British companies and UK offices of foreign multinationals. It is also a major retail centre. Daily Reading has an inflow of 30,000 commuters as compared to 24,000 departures. Large companies such as Microsoft and Oracle have their headquarters in Reading. Other businesses in Reading are Prudential, PepsiCo and Wrigley. In 2007, an independent poll placed Reading 16th in a league table of best performing retail centres in the UK.

Culture

Reading is known for its Reading Beer Festival which was first held in 1994 and is now known to be one of the largest beer festivals in the UK. It takes place at King's Meadow for the five days immediately preceding the May Day bank holiday every year. Reading Pride also takes place at Reading, an annual LGBTA festival in Kings Meadow.

Museums

The Museum of Reading contains galleries that showcase the history of Reading . The museum is also home to the excavations of Calleva Atrebatum. It also houses a full-size replica of the Bayeux Tapestry, an art collection, and galleries relating to Huntley and Palmers.

Located in East Reading, The Museum of English Rural Life,is dedicated to the changing face of rural England. It also has collections of public value. It is not only owned but also managed by the University of Reading. The Ure Museum of Greek Archaeology, the Cole Musum of Zoology and the Harris Botanic Gardens are also under the same management. All these museums can be found on the university's Whiteknights Campus.

There is also a small Riverside Museum at Blake's Lock which tells one about Reading's two rivers, the Thames and the Kennet. The Museum of Berkshire Aviation houses a collection of aircraft and other aviation accessories.