The Teradata Everywhere and other Teradata PARTNERS Conference-related press announcements include a number of cloud-specific highlights for Teradata in the Cloud. This post summarizes the key takeaways.
First, a reminder for context: Teradata Hybrid Cloud is a customer environment using a mix of on-premises, private cloud, managed cloud, and public cloud resources orchestrated to work together. Hybrid Cloud’s ease-of-use benefits include automatic synchronization, optimized query routing, and end-to-end management across the ecosystem. This new level of flexibility and workload portability enables organizations to quickly and seamlessly optimize their data warehouse resources to match continuously changing business requirements.
First, Teradata Database on AWS is now MPP (massively parallel processing, or multi-node) and can scale up to 32 nodes. This is a huge step forward compared to the previous single-node-only option available since Q1 2016. Thirty two nodes is a lot, but rest assured that Teradata will be “raising the roof” of scalability even more in the quarters to come.
Second, Teradata Database on AWS now includes automatic node failure recovery, which applies to MPP instances using Elastic Block Store (EBS). Node failures may be related to hardware, software, or the operating system. When a node fails, Node Failure Recovery:
The replacement node is based off an image recorded when the system is first launched, or an updated image if the proper tools are run after a software upgrade. The replacement node has the same secondary IP, elastic IP, and identifiers as the replaced node. By default, the downed node continues running and can be used for diagnostic purposes.
Third, in addition to using Elastic Block Store (EBS), customers may now directly backup and restore to and from Amazon Simple Storage Service (S3). Using Teradata Data Stream Utility, this capability applies whether the source is a cloud or on-premises Teradata system and also whether the restore target is a cloud or on-premises Teradata system.
The benefit of using low-cost Amazon S3 is that customers pay only for what they use and storage scales automatically. It is easy to create and manage jobs in Viewpoint for backup and restore at the database or object level, and incremental backup means that only changed blocks are streamed from the database.