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Course Outline

DP-900 A: Microsoft Azure Data Fundamentals

DP900 A: Microsoft Azure Data Fundamentals

Course Contents

Module 1: Explore core data concepts
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.

Lessons
•   Explore core data concepts
•   Explore roles and responsiblities in the world of data
•   Describe concepts of relational data
•   Explore concepts of non-relational data
•   Explore concepts of data analytics

After completing this module, students will be able to:
•   Show foundational knowledge of cloud data services within Azure
•   Identify and describe core data concepts such as relational, non-relational, big data, and analytics
•   Explain how this technology is implemented with Azure

Module 2: Explore relational data in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.

Lessons
•   Explore relational data offerings in Azure
•   Explore provisioning and deploying relational database offerings in Azure
•   Query relational data in Azure

After completing this module, students will be able to:
•   Describe relational data offerings on Azure
•   Explain provisioning and deploying relational databases on Azure
•   Query relational data through cloud data solutions in Azure

Module 3: Explore non-relational data in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.

Lessons
•   Explore non-relational data offerings in Azure
•   Explore provisioning and deploying non-relational data services on Azure
•   Manage non-relational data stores in Azure

After completing this module, students will be able to:
•   Describe non-relational data offerings on Azure
•   Explain provisioning and deploying non-relational databases on Azure
•   Decribe non-relational data stores on Azure

Module 4: Explore modern data warehouse analytics in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

Lessons
•   Examine components of a modern data warehouse
•   Explore data ingestion in Azure
•   Explore data storage and processing in Azure
•   Get started building with Power BI

After completing this module, students will be able to:
•   Describe processing options available for building data analytics solutions in Azure
•   Describe Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
•   Explain what Microsoft Power BI is, including its building blocks and how they work together

Price per delegate

£795

Scheduled Classes

Remote Access:

24 Sep 2021
22 Oct 2021

Please complete the contact form below or call 0141 221 5676 for further course information and available dates.
Alternatively you can email us at info@indiciatraining.com

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