Integrating Data in Microsoft Azure

With over 2.5 quintillion bytes of data generated each day, you need to rely on modern tools to efficiently use and analyze data. In this course, you will learn how to leverage the power of Azure to create data integration pipelines in the cloud.
Course info
Rating
(12)
Level
Advanced
Updated
Sep 17, 2019
Duration
2h 23m
Table of contents
Course Overview
Data Integration Services on Azure
Migrate On-premise Data to Azure SQL Server
Migrate Data from Amazon S3 to Azure Blob Storage
Create Data Pipelines with Azure Data Factory Copy Data Tool
Create Data Pipelines with Azure Data Factory
Create Real-time Data Pipelines with Azure EventHubs and Azure Stream Analytics
Real-time Monitoring with Power BI
Description
Course info
Rating
(12)
Level
Advanced
Updated
Sep 17, 2019
Duration
2h 23m
Description

Data-driven decision making is the path to business success. In this course, Integrating Data in Microsoft Azure, you will gain foundational knowledge to integrate data utilizing the power of Microsoft Azure. First, you will learn how to migrate data from on-premise and Amazon Web Services to Azure. Next, you will discover how to easily construct ETL processes and create data integration pipelines using Azure Data Factory. Finally, you will explore how to create a real-time pipeline, to ingest and process real-time events sent by IoT devices using Azure EventHubs, Azure Stream Analytics, and Power BI. When you’re finished with this course, you will have the skills and knowledge needed to create data integration pipelines using some of the great tools that are part of the Azure ecosystem.

About the author
About the author

Marcelo has 18 years' experience architecting solutions and developing software for the web, cloud, and mobile using C#, .NET/Core, Azure, Xamarin, JavaScript and modern front-end frameworks.

More from the author
Deploying Data Pipelines in Microsoft Azure
Intermediate
1h 29m
Dec 12, 2019
GatsbyJS: Getting Started
Beginner
2h 1m
Feb 28, 2019
Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone. My name is Marcelo Pastorino, and welcome to my course, Integrating Data in Azure. I am a software developer and solutions architect with over 15 years of commercial experience designing and building software applications that run in the cloud, web, and mobile devices. With over 2.5 Q bytes of data generated each day, companies, solution architects, data engineers, and developers need to rely on modern tools to efficiently use and analyze this data. In this course, Integrating Data in Azure, you will gain the foundation and knowledge to integrate data utilizing some of the great tools that are part of the Azure ecosystem. Some of the major topics that we will cover include migrating SQL Server data from on-premise to an actual SQL database, copying data between Amazon S3 buckets and Azure Blob Storage containers, creating data integration pipelines using Azure Data Factory and Azure Databricks, and creating real-time pipelines to ingest and process real-time events sent by IoT devices using Azure event tabs, Azure Stream Analytics, and Power BI. By the end of this course, you will have the skills and knowledge needed to data integration pipelines in Azure. Before beginning the course, you should be familiar with fundamental data transformation and integration concepts, such as ETL and ELT. I also assume that you have experience with data querying languages such as the SQL, as well as general knowledge of Azure and the Azure portal. Are you ready to start your data integration story using the many services that the Azure platform has to offer? Let's begin.