AzureCAT Blog – Moving to a new home

The AzureCAT blog is moving to a new home on Microsoft Tech Community! http://aka.ms/CAT This is our last blog post on this site. So please head over to our new blog! The MSDN blogs are being removed. We’ll miss this blog, and like all new homes, it will take some time getting used to our new…

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High Performance Computing on Azure – Portal

By combining Azure and its services with high performance computing (HPC), you can tap into unlimited resources to scale your HPC jobs. HPC on Azure can maximize your performance when analyzing large-scale data, running graphics-intensive and data-intensive simulations and models, experimenting while reducing time to market, and much more. The High Performance Computing on Azure – Portal provides…

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Azure Data Architecture Guide – Blog #9: Extract, transform, load (ETL)

This is our ninth and final blog entry exploring the Azure Data Architecture Guide. The previous entries for this blog series are: Azure Data Architecture Guide – Blog #1: Introduction Azure Data Architecture Guide – Blog #2: On-demand big data analytics Azure Data Architecture Guide – Blog #3: Advanced analytics and deep learning Azure Data Architecture Guide…

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Azure Data Architecture Guide – Blog #8: Data warehousing

In our eighth blog in this series, we’ll continue to explore the Azure Data Architecture Guide. The previous entries for this blog series are: Azure Data Architecture Guide – Blog #1: Introduction Azure Data Architecture Guide – Blog #2: On-demand big data analytics Azure Data Architecture Guide – Blog #3: Advanced analytics and deep learning Azure Data…

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Azure Data Architecture Guide – Blog #7: Intelligent applications

We’ll continue to delve into the Azure Data Architecture Guide with our seventh blog entry in this series. The previous entries in this blog series are: Azure Data Architecture Guide – Blog #1: Introduction Azure Data Architecture Guide – Blog #2: On-demand big data analytics Azure Data Architecture Guide – Blog #3: Advanced analytics and deep learning…

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Datacenter Migration on Azure – Portal

Migrating on-premises applications to Azure provides organizations the benefits of a secured and cost-efficient infrastructure while respecting existing security and networking policies. The Datacenter Migration on Azure – Portal provides links to all our content on the topic. New content is added as it becomes available.     Azure Virtual Datacenter and the Enterprise Control Plane Azure…

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Azure Data Architecture Guide – Blog #6: Business intelligence

In this sixth blog entry, we’ll continue to explore the Azure Data Architecture Guide. The previous entries in this blog series are: Azure Data Architecture Guide – Blog #1: Introduction Azure Data Architecture Guide – Blog #2: On-demand big data analytics Azure Data Architecture Guide – Blog #3: Advanced analytics and deep learning Azure Data Architecture Guide…

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Azure Data Architecture Guide – Blog #5: Clickstream analysis

We’ll continue to delve into the Azure Data Architecture Guide with our fifth blog entry in this series. The entries for this blog series are: Azure Data Architecture Guide – Blog #1: Introduction Azure Data Architecture Guide – Blog #2: On-demand big data analytics Azure Data Architecture Guide – Blog #3: Advanced analytics and deep learning Azure…

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Hybrid Cloud Architecture on Azure – Portal

UPDATED: 12/09/18 As cloud migration continues to evolve, hybrid architectures that enable companies to take advantage of both on-premises and cloud resources are a valuable tool. Hybrid architectures allow for a staged migration where cloud-based cost savings and efficiency are immediately realized for apps and data that are ready to move now, while essential mainframe…

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Mainframe Migration to Azure – Portal

UPDATED: 2/13/19 Mainframe systems were once the norm, but most companies are now looking to the cloud to replace antiquated and expensive-to-maintain mainframes. Companies can realize substantial savings if they can migrate equivalent functionality to Microsoft Azure. In many cases, mainframe workloads can be replicated in Azure with no loss of functionality and without users even noticing…

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