Azure Data Flow: Designing Data Flows in Azure Tutorial
This Designing Data Flows in Azure course will enable you to implement the best practices for data flows in your own team. Starting from the basics, you will learn how data flows work from beginning to end. Though we do recommend an idea of what data flows are and how they are used, this course contains some demonstration lectures to really make sure you have got to grips with the concept. By better understanding the key components available in Azure to design and deploy efficient data flows, you will be allowing your organization to reap the benefits.
This course is made up of 19 comprehensive lectures including an overview, demonstrations, and a conclusion:
00:00 Introduction
01:32 The Basics of Data Flow
03:11 Common Data Flow Scenarios
09:26 Data Lifecycle
11:31 Determining Data Flow Requirements
16:32 Benefits of Data Flow in the Cloud
18:55 Assessing Data Flow Requirements
24:09 Azure Storage
26:31 Azure Data Lake Storage
29:02 Demo: Create an Azure Data Lake Storage Gen2 Enabled Storage Account
32:23 Azure Data Factory
35:28 Demo: Create a Data Factory
38:16 Demo: Creating a Pipeline with a Data Factory
57:27 Database Services
59:03 Azure HDInsight
01:01:20 Azure Databricks
01:03:15 Azure SQL Data Warehouse
01:07:10 The Modern Data Warehouse
01:09:40 Conclusion
Learning Objectives
Review the features, concepts, and requirements that are necessary for designing data flows
Learn the basic principles of data flows and common data flow scenarios
Understand how to implement data flows within Microsoft Azure
Intended Audience
IT professionals who are interested in obtaining an Azure certification
Those looking to implement data flows within their organizations
Prerequisites
A basic understanding of data flows and their uses
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This course is also part of our Learning Path that will get you ready for the DP-200 exam preparation - http://clda.co/DP-200.
This Learning Path is designed to help you and your team prepare for Microsoft's DP-200 Implementing an Azure Data Solution exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you learn how to deploy and manage a variety of Azure data solutions.
Learning Objectives
Implement Azure data storage solutions
Manage and develop Azure data processing
Monitor and optimize Azure data solutions
Intended Audience
People who want to become Azure data engineers
People preparing for Microsoft’s DP-200 exam
Prerequisites
Basic experience using Microsoft Azure
You can find all Microsoft Azure Learning Paths available on Cloud Academy here: http://clda.co/AzureCerts
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