Born To Be Parallel
Goals of a Teradata Data Warehouse
A large capacity, parallel processing database machine with thousands of MIPS capable
of storing terabytes of total user data and billions of rows in a single table.
Fault tolerance, with no single point of failure, to ensure data integrity.
Redundant network connectivity to ensure system throughput.
Manageable, scalable growth.
A fully relational database management system using a standard, non‑proprietary access
language.
Faster response times than any competing relational database management systems.
A centralized shared information architecture in which a single version of the truth
is presented to users.
There is a difference between a single version (or source) of the truth and a single view of the truth. It is quite possible, and often very necessary, to have multiple views
of the truth, but these multiple views should all be based on a single version of
the truth if they are to be relied upon for decision making.
Among the fundamental aspects of Teradata parallelism are:
“Data Placement to Support Parallel Processing”
“Intelligent Internodal Communication”
“Request Parallelism”
“Synchronization of Parallel Operations”