200T01-A: Implementing an Azure Data Solution
200T01-A: Implementing an Azure Data Solution : This module explores how the world of data has evolved and how cloud data 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.
- 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.
- 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.
- 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.
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Module 1: Azure for the Data Engineer
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Module 2: Working with Data Storage
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Module 3: Enabling Team Based Data Science with Azure Databricks
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Module 4: Building Globally Distributed Databases with Cosmos DB
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Module 4: Building Globally Distributed Databases with Cosmos DB
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Module 5: Working with Relational Data Stores in the Cloud
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Module 6: Performing Real-Time Analytics with Stream Analytics
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Module 7: Orchestrating Data Movement with Azure Data Factory
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Module 8: Securing Azure Data Platforms
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Module 9: Monitoring and Troubleshooting Data Storage and Processing
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