To be able to login and use the functionality provided by the ADAPA Control Center (what is this?), first you will need to enter your Amazon account keys (see figure below). These are the Access Key ID and the Secret Access Key. Please review blog on how to find these two keys for more information.
Once you enter both access keys, you will be able to see a list of all your current ADAPA instances (if any had been previously launched). These are displayed on a table (see figure below).
This table contains data for all your instances in which information for a single instance is displayed on the same row. The table is divided in 6 columns which contain specific information about each instance, e.g. instance ID, Status (Running, Pending, or Terminated), instance type (for more info see below), as well as the ability to terminate or reboot running instances (action icons). The URL/Console column contains a hyper-link for each running instance that refers to the ADAPA Console for that particular instance (see blog on how to use the ADAPA Console). It is in the console that you will be able to upload models and data for decisioning.
The ADAPA Control Center also allows you to launch new ADAPA instances (see figure below). Note that Amazon limits the number of parallel instances to 20. On the other hand, the Amazon Elastic Compute Cloud (Amazon EC2) provides the flexibility for instances to be chosen from a number of different types to meet your processing needs. Available types are: Small, Large, and Extra Large. For the differences between types, you can take a look at the Amazon EC2 Instance Types page available on the Amazon website.
Last but not least, make sure you enter a valid e-mail address. This is necessary for you to have access to the ADAPA console. Also, if ever need to change your password in ADAPA, this is the address your new password will be sent to. You may also select to enter your name, phone number, company, and title. This information is important since it will help us to identify you in case you need to contact our technical support.
Comprehensive blog featuring topics related to predictive analytics with an emphasis on open standards, Predictive Model Markup Language (PMML), cloud computing, as well as the deployment and integration of predictive models in any business process.
