LA LEY PENAL EN EL ESPACIO. CUESTIONES GENERALES Y PRINCIPIOS DE APLICACIÓN

Sub sequences depend on parent tables for context and within context have business meaning;

however as stand-alone attributes they hold no business meaning what-so-ever. In this regard sub-sequences do not work well as independent Hub keys. Sub sub-sequences may also be defined as

“ghost Hub tables” if logically modeled – but should not ever be physically implemented. For example: A line-item number “5” has no context however it is required when discussing a particular detail item on an invoice. Sub sequence numbers are utilized to order Link or Satellite rows. In Link tables they are part of the unique index, in Satellite tables they can be included in order to provide context called: “multiple active Satellite rows.”

Sub-sequences simply allow multiple rows to be “active” for a single master key. It is a best practice to avoid sub-sequence numbers if at all possible. When used in a Link table they can cause re-engineering of the loads in the future (if the Link structure changes).

WARNING:IF SUB-SEQUENCES APPEAR IN THE MODEL, IT MAY BE A CALL TO RESEARCH FURTHER. TAKE THE TIME TO INVESTIGATE IF A LINK AND NEW HUB TABLES NEED TO BE DEFINED. IT IS COMMON TO MISTAKE THE NEED FOR A SUB

-SEQUENCE WHEN THE CORRECT MODEL WILL HAVE ONE OR MORE NEW HUBS WITH A LINK IN PLACE.EXCEPTIN REAL-TIMEMILLISECONDSYSTEMS.

Supe

er Charge Yo

an Linstedt 2 Load Dates d dates are s a set in both cording to the

ving in the sta d dates for re he incoming q ught of as a d e Figure 3-1) t ch for trackin

life-cycle of a d date time st a applies to.

d dates shou staging area es lookup the dow is a nigh

ning, then th oss all data in

our Data Ware

2010-2011, a system gener

real-time and e EDW machi

aging area of eal-time data queue. Load date-time-sta the Data Vau g purposes.

a single load, tamp is the id

ld be looked and contains e load-date (

tly batch tha e LOAD_DTS n the staging

Figure

ehouse

all rights rese rated, system ult relies on t The Load Da the arriving d ault.

based on the atch based da nt to a batch he notion tha ate should no t be changed t indicates w

ingle table ca lumn, single and hard-cod 2:00 hours, et to 00:00 h

Date Time Sta

fields. This dates represe data. Load da

e clock time ata are set o h load proces at load dates ot be set by r d from one se

hich geologic

alled CONTRO row of inform de the record

and complet hours for the

amp and Rec

P

http:/

attribute is a ent the date ates are app

arrival of the once per batc ss identifier.

s are consiste repetitive sys e following mo

cord Source

Page 47 of 15

//LearnData applied to the time stamp

lied to data s

e transaction ch. They can

As described ently applied stem calls thr data to anot ime series) t

ich is housed load to the s r example, if hours the fo orning day’s

52

aVault.com e arriving sets

By k

keeping a con find technica omes possibl resulting loa oss all time.

d dates are a parts of the w ween the load ckly see if the

example: sup orical data w e an assump mp would hav ging tables, a

a Vault.

Note: to a Date Time that on m be unwise

nsistent load al load proble le to remove

d cycles bec

Fig also utilized t world) and the

d stamp (whe ere is an unac ppose the loa ness in this c

extraction fro e that their S at neither ext tamp in the d ent of the loa ill vary based ption that: IF t ve been “X”.

nd then the p

assist in man e stamp colu most RDBMS e

e in a true-re

date time st ems (affectin that layer of ome repeata

ure 3-4: Exam o perform ga e extract date en it arrived a cceptable de ad date is 10 case has a se om the sourc SLA is not be tract nor crea data warehou ad date time d on the avai the system e Based on th f geology and able, consiste

mple Load D ap analysis be

es or creation at the EDW m elay in data a 0-14-2000 as ervice level ag ce. By storing ing met. Ext ation dates o use.

e stamp may lability of dat existed at tha his premise, s

llow precisel

inous data se l help queries pression adds tion.

information i months after d identify how

ent, and resta

ate Time Sta etween arriv n dates of the machine) and

rriving at the s in Figure 3-4

greement (SL g both in the

ract dates ar on data sets s

differ slightly tes in the his at historical p set the contro

y for loading

ets set the co s tremendous s overhead to

t becomes p r the load has w far the prob artable for an

amp Data ing data in th e data set. B d extract date e warehouse.

4, but the ex LA) in place t Data Vault, t re discussed should be ut

y. Load date storical data.

point THEN th ol date, load g historical ge

ompression fl sly; however o the loading

possible to tra s occurred. I blem data ha ny given load

he warehous By analyzing e, the busine .

xtract date is to provide the the business in a later sec tilized to repr

time stamps It is recomm he load date

the history t eology layers

ag on the Loa r keep in min

cycle. It ma

ace errors It also resent the

s for

Supe

er Charge Yo

an Linstedt 2 occasion the

etimes the g these reason orical loads f

Load End Da d end dates a make queries

hitecture, the in the loadin puting data

F d end dates a cated here) w usive (not ind d end dates o m to be future ted on disk w d end dates w ated or end-d es whether NU

dates are no he row-set in

tomer names

our Data Ware

2010-2011, a historical da granularity of ns controlling for specific gr ates

are system c against the ey are query a

g time-frame life-cycles wit

Figure 3-5: Lo are set accor where 1 seco dicated here) of the curren e dated if de when update which are NU dated; most R

ULL or not – ot auditable a

order to ens s. Satellites a

ehouse

all rights rese te time stam the creation g the load dat

rains of data

omputed att Data Vault ea attributes on e of the Data

thout resortin

oad End Date rding to the n ond has been where they a are defined i

erved mp must coinc

date may be te time stam as well, prov

ributes. Thes asier. Load e ly. These at Vault. Time-ng to load en

e Computatio next current r n subtracted f are equal to own in Figure

end dates th ate is reset).

ause the row nes make da n as a fixed-le

ystem compu consistency n detail in Ch

cide with the e monthly wh p as a single viding snapsh

se are mech end dates ar ttributes indic

-series based nd date colum

ons, Descript row load date

from the nex the load date e 3-5 to be N

at are future

to migrate to ate/time data ength colum uted values.

. Figure 3-5 hapter 5.0.

P

http:/

e creation dat here the curre e unit provide

hot availabili

anical attribu re NOT neces

cate the end d database e mns.

tive Data Life e. They may xt most curre

e from the ne ULL. It is opt e dated do no

o another dis a types take t ent loads occ es full flexibil

ty.

utes that exis ssary for the

of the data engines are c

e Cycle be exclusive

nt load date, ext most rece tional to con ot need to be

sk block whe the same am abase engine

ates must be atellite entity

52 capable of

e (as

In document DERECHO PENAL I, PRIMER PARCIAL (página 31-39)