Banking & Capital Markets

Run your compute grids at scale in Azure Cloud to do modeling, analytics and data management.

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Hyperscale

We'll handle bursty workloads, across 24 regions around the world – more than AWS and Google combined. No one is delivering hyperscale like Azure.

Hybrid

We provide secure connectivity (VPN + Express Route) for hybrid solutions within cloud management, identity, storage, and many more, making us the most flexible cloud today.

Trustworthy

Azure meets a broad set of international and national compliance standards and embeds security and privacy at every step, from development through to incident response.





Learn more about Security, Privacy, Transparency and Compliance on Microsoft Azure





Extending Your Grid to Azure



Cloud Native


Deploy your applications on Windows or Linux infrastructure as a service (IaaS) virtual machines. Make use of your own custom images, and run HPC workloads using the job scheduling solution of your choice.

Hybrid Cloud


Extend your on-premises HPC or grid computing solution to Azure and save on infrastructure costs. Our hybrid solution lets you increase capacity on your existing HPC cluster, so that you only use and pay for the resources when you need it.





Use Clustering and Scheduling Tools You Already Know


Use commercial tools such as TIBCO DataSynapse GridServer and Univa Grid Engine in Azure. You can also build out your own Windows or Linux clusters to run tools such as Torque and SLURM. Of course, we also support Microsoft HPC Pack, Microsoft's free compute cluster solution for Windows and Linux HPC workloads.





Save Money, Space and Time

Instead of dealing with the overhead of building out new datacenters and then managing it, let us worry about the infrastructure to help you to lower costs.

Experience Speed and Scale

We'll provide you the capacity when you need it. Run your workloads bigger and faster than you could on-premises to get the edge on the market.









Designing for the Hybrid Cloud

Take advantage of our wide range of infrastructure and platform level services to create workflows that fit you the best


1
Use Azure Data Factory to collect financial data from disparate on-premises data sources into Azure Storage or Azure SQL Database.
2
Connect to commercial data sources using Azure Data Factory and ingest the data into Azure Storage.
3
Deploy a cluster completely on the cloud with Microsoft HPC Pack or with your own grid computing solution. Deploy VMs from a growing list of Windows and Linux images on Azure Marketplace.
4
If you prefer not to manage compute infrastructure, use Azure Batch, a job-scheduling service for running large-scale parallel workloads.
5
The output data in cloud storage can be aggregated further with Azure HDInsight or Hadoop running on Azure IaaS VMs.
6
Create rich predictive models using Azure Machine Learning and operationalize the model in your Azure Data Factory data-integration workflow.
7
Move processed data to a cloud or on-premise data-mart using Azure Data Factory and consume it with online tools like Microsoft Power BI, or with client analysis and visualization tools.
8
Actuaries and Quantiative Analysts run jobs and consume the results securely once authenticated with corporate account credentials federated with Azure Active Directory.
9
Compose, schedule, operationalize, manage and monitor all the data-flow in your solution from a single-pane of glass using Azure Data Factory.
10
Create private connections between Azure data-centers and your on-premise clusters with Azure Express Route. These connections offer higher security, more reliability, faster speeds and lower latencies.




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Deliver Azure services from your own datacenters with Microsoft Azure Stack

Get the power of cloud services, yet maintain control of your datacenter for true hybrid-cloud agility. Easily access public cloud resources to scale at busy times of the year, or whenever you need them.

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