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Episode 516 - Digital Intelligence Architecture episode artwork

Apr 4, 2025

Episode 516 - Digital Intelligence Architecture

from The Azure Podcast Hosted by Cynthia Kreng, Kendall Roden, Cale Teeter, Evan Basalik, Russell Young and Sujit D'Mello

In this episode, Sujit D'Mello and Cynthia Kreng are joined by special guest Mike Becker, an Azure Architect at Microsoft, to discuss how various Azure services can be combined to create a complex solution. Sujit covers the latest enhancements in AKS, including Azure CNI, load balancer support, network isolated clusters, cost recommendations, and GPU driver options. Mike shares insights into a comprehensive Azure cloud solution for collecting and analyzing economic data and media feedback about companies, highlighting the use of Azure Data Factory, Databricks, Power BI, and OpenAI for sentiment analysis. The discussion delves into the architectural decisions, technical challenges, and practical applications of these technologies in delivering robust and secure solutions. Media file: https://azpodcast.blob.core.windows.net/episodes/Episode516.mp3 YouTube: https://youtu.be/wG12eJymh54 Resources: ADF how it works https://learn.microsoft.com/en-us/azure/data-factory/introduction#how-does-it-work Azure Data Factory- Best Practices https://learn.microsoft.com/en-us/answers/questions/1283307/azure-data-factory-best-practices Azure Data Bricks Medallion architecture https://learn.microsoft.com/en-us/azure/databricks/lakehouse/medallion Azure Data Bricks Best Practices https://dzone.com/articles/azure-databricks-best-practices-for-a-developer Sentiment Analysis with Azure AI services https://learn.microsoft.com/en-us/azure/synapse-analytics/machine-learning/tutorial-cognitive-services-sentiment Power BI recommendations https://community.fabric.microsoft.com/t5/Desktop/Power-BI-Development-and-Best-Practices/m-p/4632985/highlight/true#M1386307 Improve Power BI model's performance https://powerbi.microsoft.com/en-us/blog/best-practice-rules-to-improve-your-models-performance/ GitLab best practices - if you cannot use Azure DevOps https://about.gitlab.com/topics/version-control/what-are-gitlab-flow-best-practices/

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