Great News! Everything you need to experience the power of multi-genre advanced analytics is now available on Microsoft Azure Marketplace.
Businesses can quickly provision an advanced analytics sandbox or a production analytic environment to address their most pressing business challenge. Teradata Aster Analytics on Azure delivers machine learning, text, path and pattern, statistics and graph analytics to analyze multi-structured data and operationalize insights at scale. The Aster Analytics on Azure includes everything you need to launch an analytic cluster with a Queen node and up to 32 workers.
A subscription to Aster Analytics on Azure includes the following:
Right to use Aster Analytics Portfolio, Aster Client, Aster Database 6.20 and Aster AppCenter for analytic development and production purposes. Note: Aster AppCenter must be launched through a separate VM.
Launch 2 to 32 Worker nodes to meet your performance and scalability requirements
Supports 2 to 256 TB of data for analysis
Support through the Teradata Premier Cloud Support
Configuring and launching Aster Analytic for Azure is easy. Just follow these steps on the Azure Marketplace and you’ll be ready to discover the power and flexibility of Aster Analytics.
Log on to Azure Marketplace and search for “Aster”. You’ll find two Aster virtual machines (VM). The first is the “Teradata Aster Analytics” solution template. This template will guide you through the steps to configure and launch an Aster cluster. The second is the “Teradata Aster AppCenter Hourly” VM that will launch Aster AppCenter. AppCenter is optional.
Once you select the “Teradata Aster Analytics” option, Azure marketplace will display a brief description of the Aster software. Click on “Create” to launch the solution template that will take you through a step-by-step process to configure an Aster Analytics cluster.
You must first setup the basic user name and password for your Azure VM resource. Next select the subscription account for software, storage and VM charges. You must also enter an existing resource groups or create your own. If you create your own, you must also select an Azure region. Note: prices of VMs can vary based on location.
Next step is to configure the Aster cluster:
Enter a name that will be used as a prefix for all workers launched as part of this cluster.
Enter the number of workers you want to deploy. Number of workers must be between 2 to 32. We recommend a minimum of 3 workers. One Queen will be automatically configured.
Select the Azure VM type to run Aster software. The number of workers and the type of Azure VM will determine performance of analytic processing. The supported VMs and their characteristics are listed below. Note: The VMs listed in this table has been certified with Aster Analytics software and will be supported.Azure
Local storage GiB
Workload use case
Aster software price
Development and Production
High performance Production
Enter the Aster database passwords.
Select 1, 4 or 8 TB disk size options. This size refers to the amount of premium storage allocated for EACH Worker and Queen, so to the overall storage available is “Number of workers” x “Disk option”. Disk attached to the Queen is for processing and not included in the overall storage calculation.
Enter the time zone for the Aster cluster.
Establish network settings
Select an existing virtual network or create a new one to deploy the Aster cluster.
Select or enter the name of the VM subnet and CIDR block for the public subnet. The Aster solution template will create a new public subnet in the selected VNet using this CIDR address.
Now you’re just about ready to launch your new Aster cluster on Azure. Azure marketplace will run through the final checks then prompt you to subscribe.
Once the cluster is provisioned, you can follow the instructions in the ‘Getting Started Guide’ to connect to the Queen node and the Aster Management Console (AMC)
Aster Analytics on Azure enables businesses to leverage the full power of advanced analytic at scale with a minimal investment. Software used by the leading Global 1000 is now available on-demand for experimentation and analytics on multi-structure data. Now you are ready to build mind-blowing analytic models to drive high impact business outcomes. If you have any questions regarding Aster Analytics in the Cloud, please feel free to contact Kiran Kamreddy or Arlene Zaima.
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