Developing with the Cosmos DB Core (SQL) API and Change Feed

Lab Steps

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Logging into the Microsoft Azure Portal
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Creating an Azure Cosmos DB SQL Database in the Azure Portal
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Creating a Cosmos DB SQL Container
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Inserting and Viewing Data with the Cosmos DB SQL API
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Editing and Deleting Data with the Cosmos DB SQL Data Explorer
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Learning about Consistency in Cosmos DB
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Triggering an Azure Function With Cosmos DB SQL Changes
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Testing the Azure Function Cosmos DB SQL Trigger

The hands-on lab is part of these learning paths

DP-201 Exam Preparation: Designing an Azure Data Solution
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Ready for the real environment experience?

DifficultyIntermediate
Time Limit1h 30m
Students514
Ratings
4/5
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Description

Azure Cosmos DB is a fully-managed, globally-distributed, multi-model database. Databases in Cosmos DB are enterprise-ready and highly-available offering up to 99.999% availability SLA. In this Lab, you will learn how to manage Cosmos DB using the Azure Portal and Azure CLI as you integrate Azure Functions with Cosmos DB change feed triggers to buy and sell fictitious stocks. This lab uses the SQL API in Cosmos DB to work with a document database model.

Lab Objectives

Upon completion of this lab you will be able to:

  • Understand the multi-model capabilities of Cosmos DB
  • Perform geo-replication and failovers in Cosmos DB
  • Understand the tradeoffs involved in deciding on a concurrency model and throughput level in Cosmos DB
  • Connect to and work with SQL API Cosmos DB databases using the Azure Portal

Intended Audience

This lab is intended for:

  • Prospective developers, data scientists and database engineers
  • Anyone who needs the ability to store, edit and view data
  • Anyone interested in full-stack, backend or website development

Prerequisites

You should be familiar with:

  • The concept of SQL and document databases

Updates

May 22nd, 2020 - Updated the lab's security policy and lab step instructions to account for an update to Azure's function app monitoring

March 24th, 2020 - Updated instructions to avoid using the free tier discount which causes deployment of the database to fail.

Environment before
PREVIEW
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Environment after
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About the Author

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Matt has worked for multiple Fortune 500 companies as a DevOps Engineer and Solutions Architect. He is an AWS Certified DevOps Engineer - Professional, and an AWS Certified Solution Architect - Associate. He enjoys reading and learning new technologies.