Teradata is a relational database
management system (RDBMS) that is:
• Teradata is an open system, running on a UNIX MP-RAS or Windows server platform.
• Teradata is capable of supporting many concurrent users from various client platforms.
• Teradata is compatible with industry standards (ANSI compliant).
• Teradata is completely built on a parallel architecture.
• Teradata is an open system, running on a UNIX MP-RAS or Windows server platform.
• Teradata is capable of supporting many concurrent users from various client platforms.
• Teradata is compatible with industry standards (ANSI compliant).
• Teradata is completely built on a parallel architecture.
Why Teradata?
There have plenty of reasons why customers like to choose Teradata.
·
Teradata supports more
larger warehouse data than all competitors combined.
·
Teradata Database can
scale from 100 gigabytes to over 100+ petabytes of data on a single system
without losing any performance .This is called Scalability.
·
Provides a parallel-aware
Optimizer that makes query tuning unnecessary to get a query to run.
·
Automatic and even data
distribution eliminates complex indexing schemes or time-consuming
reorganizations .
·
Teradata Database can
handle the most concurrent users, who are often running multiple, complex
queries.
·
Designed and built with
parallelism.
·
Supports ad-hoc queries
using SQL
·
Single point of control
for the DBA (Teradata Manager).
·
Unconditional
parallelism (parallel architecture)
·
Teradata provides the
lowest total cost (TCO) of ownership
·
High availability of
data because there is no single point of failure – fault tolerance is built-in
to the system.
Teradata Database can be used as
·
Enterprise data
warehousing
·
Active data warehousing
·
Customer relationship
management
·
Internet and E-Business
·
Data marts
Architecture of Teradata
Teradata relies on three architectural components.
·
Parsing Engine(PE) or
Optimizer
·
Access Module
Processors(AMPs)
·
BYNETs
·
Disks
Parsing Engine (PE)
The Parsing Engine (PE) is a component that interprets SQL requests, receives input records, and passes data. It sends the messages through the BYNET to the AMPs.
The Parsing Engine (PE) is a component that interprets SQL requests, receives input records, and passes data. It sends the messages through the BYNET to the AMPs.
BYNETs
The BYNET act as message-passing layer. It decides which AMP should receive a message.
The BYNET act as message-passing layer. It decides which AMP should receive a message.
No comments:
Post a Comment