Azure Cosmos DB explains how there are new, cost-effective ways to run applications of any size and scale with Azure Cosmos DB.

Explore the standard and autoscale provisioned throughput offers available today for Azure Cosmos DB, and the new serverless offer that will become available very soon.

Choosing the right offer for your workload will help match performance and costs, and reduce – or eliminate – capacity planning and monitoring.  

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Ayman El-Ghazali recently presenting this Introduction to Databricks from the perspective of a SQL DBA at the NoVA SQL Users Group.

Code available at:https://github.com/thesqlpro/blogThis is an introduction to Databricks from the perspective of a SQL DBA. Come learn about the following topics:

  • Basics of how Spark works
  • Basics of how Databricks works (cluster setup, basic admin)
  • How to design and code an ETL Pipeline using Databricks
  • How to read/write from Azure Datalake and Database
  • Integration of Databricks into Azure Data Factory pipeline

Code available at:  https://github.com/thesqlpro/blog

Automate and manage your cloud-native, hybrid, and even on-premises resources using PowerShell. Eamon O’Reilly, who’s leading the efforts at Microsoft for serverless automation, shows you how to get started.

If you’re new to Azure Functions, this is Microsoft’s event-driven serverless compute in Azure. You can execute code or a script, allowing you to automate rules, configuration, and processes. Because it’s on demand, you only pay for the exact time needed to run that function- right down to the second.

Think serverless is just for functions? Think again!

Brendan Burns joins Donovan Brown to look at how serverless containers can provide a cloud-native container experience without the worry of a server or operating system.

They also look at how this integrates with the Azure Kubernetes Service (AKS).

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Learn more about the deployment options for Azure SQL Database. 

More information.

[00:00] – Introduction
[00:41] – Deployment options in Azure SQL Database, including elastic pool, single database and Managed Instance
[03:33] – DTU service tiers (Basic, Standard, Premium)
[07:08] – vCore service tiers (General Purpose, Hyperscale, Business Critical)
[08:08] – General Purpose tier: Provisioned vs Serverless
[09:16] – Compute Generation: Gen4 vs Gen5
[10:01] – Decision points for Provisioned vs Serverless compute tiers
[13:25] – Saving money with Azure Hybrid Use Benefits
[13:58] – Business Critical tier and read scale-out
[15:42] – Hyperscale tier
[21:03] – Summary of deployment options
[22:17] – Finalizing the creation of a new Azure SQL Database
[23:02] – Summary and wrap-up

A critical characteristic of cloud native architectures it the ability to dynamically scale and support massive numbers of users, events, and requests on these distributed applications and teams.

Serverless can help in these challenges without having to worry about infrastructure or even an entire application.

Watch this video to see how does serverless fit into the plan for cloud native apps.

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Gaurav Malhotra joins Scott Hanselman to show how wrangling data flows in Azure Data Factory.

This provides  a code-free, serverless environment that simplifies data preparation in the cloud and scales to any data size with no infrastructure management required.

It uses the industry-leading Power Query data preparation technology (also used in Power Platform dataflows, Excel, and Power BI) to prepare and shape the data. Built to handle all the complexities and scale challenges of big data integration, wrangling data flows enable use Apache Spark execution to help you easily prepare data at scale.