The UDA channel is for Teradata’s Unified Data Architecture including the Analytical Ecosystem and other UDA influences. This channel provides information specific to the integration and co-existence of multiple systems, in particular when a mix of Aster, Teradata, and Hadoop are present. It is also meant to support information around the UDA enabling technologies so products like Viewpoint, Data Mover, Connectors, QueryGrid, etc.
• Amazon Web Services (AWS) publishes many Amazon Machine Images (AMIs) that contain common software configurations for public use. In addition, members of the AWS developer community have published their own custom AMIs. • You can also create your own custom AMI or AMIs; doing so enables you to quickly and easily start new instances that have everything you need. For example, if your application is a website or a web service, your AMI could include a web server, the associated static content, and the code for the dynamic pages. As a result, after you launch an instance from this AMI, your web server starts, and your application is ready to accept requests. • All AMIs are categorized as either backed by Amazon EBS, which means that the root device for an instance launched from the AMI is an Amazon EBS volume, or backed by instance store, which means that the root device for an instance launched from the AMI is an instance store volume created from a template stored in Amazon S3. • The description of an AMI indicates the type of root device (either ebs or instance store). • This is important because there are significant differences in what you can do with each type of AMI.