Teradata Tutorials

8/16/2019 Teradata Tutorials

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Teradata Tutorials

Teradata Tutorials OverviewWelcome to Teradata Tutorials. The intent of these tutorials is to provide in depthunderstanding of Teradata Database.

Teradata Overview It is an RDBMS that Drives companies data ware housing O T!"O #!" DSS"D#T# M#RT#ppliances.

$#% #n &O!'( S)ST'M*" which e+ecutes on ,ni+ M!- R#S$Discantioned in TDD% Windows///"+p"(O0' "S,S' I(,1 etc The #bove operating s2stem

$B% 3ompatible with 4#(SI5 standard

$3% #cts li6e a S'R0'R

$D% Run on single$or%Multiple (OD'S

$'% Built in parallelism

I Tera B2te 7 8/ B2tes78/ 9 :B$:I:# B2te%

Teradata #pplications'nterprise Data ware house

#ctive Data ware house

Internet #nd '-3ommerce

3RM;3ustomer Relationship Management<

Data Mart #ppliance etc

Teradata=istor2

8>?> Teradata3orporation8>@ Airst 0ersion DB3 8/8

8>>C //C Tera data-(3R

//? TD (3R Separated

TD 08R8 08R9 $0-0ersion"R-Release%



;0 8 R8 " 08R " 0 8RE 08R9<

TD 0 R8 0 R?

$0 R8 " 0 RE" 0 ERE "0 R9" 0 RF " 0 RC" 0 R?%

TD8 $ //?%

TD8E 0iew !oint 0ersion

TD89,p 3oming

3ertiGcation 0ersion #!R /8/ onwards TD8 Real time companies

0 RF" 0 RC" 0 R? TD8 " TD8E ver2 few

Teradata 'nterprise #rchitecture



Teradata #rchitectureTeradata Database s2stem are t2pes

SM!M!!

a) SMP[Symmetric Multi- Processing]

Teradatadatabase s2stem is called SM! S2stem it have a single (OD' That contains multiple3!, sharing Memor2 pool.



b) MPP[Massively parallel Processing]

=ere multiple (OD'S are connected together via a component called as B)('T

=ere all the (OD'S communication with each other with the help of vistual processes

Real time usage

To perform mode operation and to have better storage this is recommended.

NODE AR !"#E #$RE



!' !assing 'ngine

!DA !arallel Data Base '+tension

#M! #ccess Module !rocessor

0DISH 0irtual Dis6

0!RD3 0irtual !rocessor

NODE

It is important building bloc6 of the Teradata Database s2stem it is collection of hardware andsoftware components.

# server can also called as a node

3hannel #ttached s2stem and networ6 attached s2stems can be connect to a (OD'

3hannel driver and Teradata :#T'W#) are the application R,( under the operating s2stem asprocesses

Remaining component runs under !D'

!' and #M! 0irtual processor" where B)('T Is an Internal a2er between !' and #M!

PDE[Parallel Data %ase E&tension]

It Runs Teradatacomponent in parallel

#PA[#ruste' parallel Application]

# data base is called pure parallel application $or% Trusted parallel application" it5s Runs under!D'

Teradata is a database" which is running under !D'" so we call it. Teradatahas pure parallelData base and trusted data base

SMP AR !"#E #$RE[Symmetric Multi- Processing]

Single (OD' #rchitecture can also be called as SM! #rchitecture" =ere B)('T 3an also referredas BRO#D 'SS B)('T$or% 0IRT,# B)('T$or%S OAT Ware B)('T

Recommen'e'



Aor :I:# B)T'S of data processing with minimum operation" this is recommended

MPP Arc(itecture Massively parallel processor)

3ollection of (OD' which ma6e larger conGguration which Is called M!!

#ll these nodes are connected via component called B)('T"Which allows multiple virtual processors and multiple (OD'S 3ommunicate with each other

This B)('T can also called as BO#RD ORI'(T'D B)('T$OR% =#RD W#R' B)('T.

Terdata B)('T Aeatures*ault #olerance

'ach B)('T having networ6 path to connected to the (OD'S" if there is a failure in an2 networ6 path simple it reconGguration Itself and avoids the un- usable or failed path" in this wa2 itis fault occurrence. It tolerates it self

+oa' %alances

It B)('T O is not able to reconGguration or not able to handle tra c" than all instructionsredirected to B)('T8 and it is Balance the oad.

!ig( scalability



If we increase the (umber of (OD'S Teradata Doesn5t sacriGce an2 perform are and it5s scalesinearl2.

NO#E

0 RF JF8 (OD'S

0 RC" TD8 J8/ 9 (OD'S

atest 0ersionJ /9@ (OD'S be can connect to B)('T upcoming

Some companies An' Number o, t(e NODES

K!M3 L 9/ (OD'S

BO# L 9/ (OD'S

DBS L @ (OD'S

I3I3I !roductial L 9 (OD'S

3IS3O L 99 (OD'S

W# M#RT L E9/ (OD'S

Barcla2s L 88 (OD'S $or%

Recommen'ation

If !rocessing Tera B)T'S of data and man2 operations the M!! is recommended.

Di erence between Teradata #nd Other RDBMS

#ERA DA#A Ot(er RD%MSArc(itectures Shared (othing Shared 'ver2 thingProcesses MI!S;Millions of Instructions sec HI!S;Thousand of institutions sec<"n'e&es Better Distribution #nd Retrieval Onl2 A#SI RetrievalParallelism ,n-conditional conditional%ul +oa' Man2 imited*acilities 'nterprise wide Data ware housing O T! Morestores T'R# B)T'S;Billions of rows< :I:# B)T'S;Millions of rows<

http://tekslate.com/teradata-training/

http://tekslate.com/teradata-training/



3RM;3ustomer" Relationship Management<

Teradata #dvantages

Automatic. Even Data Distribution

In Other RDBMS SeNuential distribution is #utomatic" But in Teradata 'ven$or% ,niform$or%Random distribution is #utomatic

!ig( Scalability

(OD' (OD'

WORH WORH

,S'RS ,S'RS

Other" RDBMS inear Scalabilit2 #pplication Teradata

If increase (umber of (ode" ,S'RS $OR% WORH" TeradataDoesn5t sacriGce an2 performance andit5s scales linearl2



Matura optimi/er

• Older 0ersion of Oracle S Server

o E Koins ueries

o E Sub ueries ueries

• Older 0ersion of Tera data

o C9 Koins ueries

o C9 Sub ueries ueries

o

Aormatting 3ommands

o #nal2tical 3ommands

o #ggregate 3ommands etc.

#s Teradata is having powerful optimiPer so that it is able to perform above operations.

Mo'els #(e %usiness

Teradata highl2 Qe+ible to E(A;E rd (ormal Aorm< and it5s supports the below models also

8. (ormaliPation

. Star schema

E. Snow Ala6e schema

9. Bus schema

F. :ala+2 Schema

C. =2brid Schema

Acts +i e a Single Data Store



Tara data is warehouse" where we can sto6e both 3=#((' #TT#3='D Data and ('TWORH#TT#3='D Data.

+o0 cost # O[total cost o, o0ners(ip]

Many %ul +oa' *acilities

There are man2 facilities in Teradatato load and un-load

BT' - oad ,n- load

A#ST O#D- O#D



M, TI O#D- O#D

A#ST '1!ORT- ,(- O#D

T !,M!- O#D

O ' O#D- O#D ,(- O#D

Teradata!#R# ' TR#(S!ORT'R $T!T%- O#D ,(- O#D

Teradata!#R# ' TR#(S!ORT'R #!I etc.

Man2 appliances added supported from teradata 8E onwards those are

'+treme data appliance8FF/ 8FFF

#ctive 'nterprise Data ware house FFFF FFF/

Data mart appliance FF/ FFF F// etc

Teradata InstallationInstalling Teradata is ver2 simple. It as6s things.

Storage space

3ustom and t2pical option

,n Pip folder" Pip folder

:o to setup.e+e

3lic6 Main Menu

Install Teradata'+press

Installation ReNuirement

MinimumE -bit s2stem ReNuirement

Micro soft windows 1! with S! E

Micro soft windows Server //E with S!

Micro soft windows Server //@

Micro soft windows vista

Micro soft windows ?

Minimum hard ware ReNuirement

8 :B Memor2

F :B to 8 :B of Aree Dis6 space

3lic6 (e+t install Menu and install below component one b2 one



Teradata B)('T DRI0'R

Tara data Database

Tara data '+press tool

Tara data tools and utilities

Note

It ta6es Ma+ / to F minutes for entire installation

Teradata Tutorials

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