Monday, 3 August 2015

ONLINE IT TRAINING FOR TERADATA IN WORLD WIDE




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.

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
http://www.xoomtrainings.com/teradata-online-training.html
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.
BYNETs
The BYNET act as message-passing layer. It decides which AMP should receive a message.

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