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Jay Gordon for Microsoft Azure

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AzureFunBytes Reminder - Intro to @AzureCosmosDB with @markjbrown

Every week on AzureFunBytes, we try to introduce you to the technology, tools, processes, and practices that make up the fundamentals of Azure. This week we'll discuss how to get your data fast, with nearly any programming language, and distributed across the globe with Cosmos DB.

Join us at 11 AM PST / 2 PM EST on Thursday, February 25, 2021!

Cosmos DB is Azure's fully managed, multi-model NoSQL database for your apps. data science, and nearly whatever purpose you may need for querying unstructured data sets. You can work at PLANET scale by replicating your data across multiple regions with single-digit millisecond response times. You'll be able to work with key-value, column family, document, and graph data all from Cosmos DB. Access using popular APIs such as SQL, LEAF for MongoDB, Gremlin, Cassandra, and Table. Make use of SDKs for your favorite programming language.

This week I am joined by Mark Brown, Principal Product Manager for the Cosmos DB team. He'll provide me with some great insight into how, when, where, and why to use Cosmos DB. We take questions, listen to comments, and hopefully get you all the new information you can use on Cosmos DB including their upcoming Cosmos DB Conf April 20-21st, 2021.

Join us at 11 AM PST / 2 PM EST for the latest episode! We'll get you the information you need to start building your global scale apps.

Learn about Azure fundamentals with me!

Live stream is available on Twitch at 2 pm EST Thursday. You can also find the recordings here as well:

https://twitch.tv/azurefunbytes
https://twitter.com/azurefunbytes
https://aka.ms/jaygordononyoutube
Azure DevOps YouTube Channel

Useful Docs:

Microsoft Learn: Azure Fundamentals
Microsoft Azure: $200 Free Credit
Welcome to Azure Cosmos DB
Getting started with SQL queries
Introduction to the Azure Cosmos DB Cassandra API
Azure Cosmos DB's API for MongoDB
Introduction to Gremlin API in Azure Cosmos DB
Introduction to Azure Cosmos DB: Table API

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