『Episode 516 - Digital Intelligence Architecture』のカバーアート

Episode 516 - Digital Intelligence Architecture

Episode 516 - Digital Intelligence Architecture

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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

 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 workshttps://learn.microsoft.com/en-us/azure/data-factory/introduction#how-does-it-work Azure Data Factory- Best Practiceshttps://learn.microsoft.com/en-us/answers/questions/1283307/azure-data-factory-best-practices Azure Data Bricks Medallion architecturehttps://learn.microsoft.com/en-us/azure/databricks/lakehouse/medallion Azure Data Bricks Best Practiceshttps://dzone.com/articles/azure-databricks-best-practices-for-a-developer Sentiment Analysis with Azure AI serviceshttps://learn.microsoft.com/en-us/azure/synapse-analytics/machine-learning/tutorial-cognitive-services-sentiment Power BI recommendationshttps://community.fabric.microsoft.com/t5/Desktop/Power-BI-Development-and-Best-Practices/m-p/4632985/highlight/true#M1386307 Improve Power BI model's performancehttps://powerbi.microsoft.com/en-us/blog/best-practice-rules-to-improve-your-models-performance/ GitLab best practices - if you cannot use Azure DevOpshttps://about.gitlab.com/topics/version-control/what-are-gitlab-flow-best-practices/
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