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What is Dimensional Modelling
Latest Answer: It is logical design techniques and visual techinques it
can be contain aggregate table, dimension table, fact table ...
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What is the Difference between OLTP and OLAP
Answered by swetha on 2005-03-30 12:00:33: OLTP Current
data Short database transactions Online
update/insert/delete Normalization is promoted High volume
transactions Transaction
Latest Answer: Thanks Jyothsna....... ...
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What is surrogate key ? where we use it expalin with examples
Latest Answer: We can say "Surrogate key" is a User defined primary
key.. ...
Read Answers (14) | Asked by : Minish Cherian
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What are Data Marts
Data Mart is a segment of a data warehouse that can provide
data for reporting and analysis on a section, unit, department or
operation in the company, e.g. sales, payroll, production.
Latest Answer: A Data Mart is the subset of the data warehouse that
caters the needs of a specific functional domain.examples of
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functional domains can be given as Sales, Finance, Maketing, HR
etc. ...
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What are the methodologies of Data Warehousing.
Latest Answer: There are four methods in which one can build a
datawarehouse.1. Top-Down (Emphasizes the DW. )2. Bottom-Up
(Emphasizes data marts.)3. Hybrid (Emphasizes DW and data
marts; blends “top-down” and “bottom-up” methods.)4.
Federated (Emphasizes the need to ...
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What is a Data Warehousing?
Data Warehouse is a repository of integrated information,
available for queries and analysis. Data and information are
extracted from heterogeneous sources as they are
generated....This makes it much
Latest Answer: Data Warehousing is Relational Database which is
specially designed for analysis processing rather then for
querying and transactional processing. ...
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What are the vaious ETL tools in the Market
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Latest Answer: By far, the best ETL tool on the market is
Hummingbird Genio.Hummingbird is a division of OpenText, they
make, among other things, connectivity and ETL software. ...
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What is Fact table
Answer posted by Chintan on 2005-05-22 18:46:03: A table in a
data warehouse whose entries describe data in a fact table.
Dimension tables contain the data from which dimensions are
created.
Latest Answer: Fact table is the one which contains measures of
interest at most granular level.These values are numeric.Ex:sales
amount would be a measure .Each dimension table has a single-
part primary which exactly corresponds to one of the components
of multiparty ...
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What is ODS
Latest Answer: ODS means Operational Data store. ODS & Staging
layer are the two layers between the source and the target
datbases in the data warehouse..ODS is used to store the recent
data. ...
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What are conformed dimensions
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Latest Answer: A dimension which can be shared with multiple fact
tables such dimensions are know as conformed dimension. ...
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What is a lookup table
Latest Answer: hi if the data is not available in the source systems
then we have to get the data by some reference tables which are
present in the database.these tables are called lookuptables.for
example while loading the data from oltp to olap,we have ...
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What is ER Diagram
Answered by Puneet on 2005-05-07 04:21:07: ER - Stands for
entitity relationship diagrams. It is the first step in the design of
data model which will later lead to a physical database design of
possible
Latest Answer: Entity Relationship Diagrams are a major data
modelling tool and will help organize the data in your project into
entities and define the relationships There are three basic
elements in ER models: Entities are the "things" about which we
seek ...
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What is ETL
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Answered by sunitha on 2005-04-28 21:17:53: ETL is
extraction,trasformation and loading,ETL technology is used for
extraction the information from the source database and loading
it to the target database
Latest Answer: Data Acquisition technique is now called
ETL(Extraction, Transformation and Loading)Extraction-The
process of extracting the data from various sources. Sources can
be file system, database, XML file, Cobol File, ERP
etcTransformation-Transforming the ...
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What are conformed dimensions
Latest Answer: In Integrated schema Design, a dimension which can
be shared across multiple fact tables is called Conformed
Dimension. ...
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What is conformed fact?
Latest Answer: A fact,which can be used across multiple datamarts is
called as conformed fact. ...
Read Answers (8) | Asked by : narender
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Can a dimension table contains numeric values?
Latest Answer: Absolutely!For example, a perishable product in a
grocery store might have SHELF_LIFE (in days) as part of the
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product dimension. This value may, for example, be used to
calculate optimum inventory levels for the product. Too much
inventory, ...
Read Answers (8) | Asked by : sunil
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What is a Star Schema
Answer posted by Chintan on 2005-05-22 18:34:55: A relational
database schema organized around a central table (fact table)
joined to a few smaller tables (dimension tables) using foreign
key references.
Latest Answer: A data warehouse design that enhances the
performance of multidimensional queries on traditional relational
databases. One fact table is surrounded by a series of related
tables. Data is joined from one of the points to the center,
providing a so-called ...
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What Snow Flake Schema
Answered by Girinath.S.V.S on 2005-03-17 06:40:48: Snowflake
schemas normalize dimensions to eliminate redundancy. That is,
the dimension data has been grouped into multiple tables instead
of one large
Latest Answer: Any schema with extended dimensions(ie., dimesion
with one or more extensions) is known as snowflake schema ...
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What is a dimension table
Answer posted by Riaz Ahmad on 2005-06-09 14:45:26: A
dimensional table is a collection of hierarchies and categories
along which the user can drill down and drill up. it contains only
the textual attributes.
Latest Answer: A dimensional table contains detail values/data which
is short and wide(ie; less coloums and more rows) Always based
on dimensions analysis is done in Datawarehousing. ...
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What is data mining
Answered by Puneet on 2005-05-07 04:24:28: Data mining is a
process of extracting hidden trends within a datawarehouse. For
example an insurance dataware house can be used to mine data
for the most high
Latest Answer: Data Mining: Smpler way we can define as DWH(Data
Warehouse)+ AI(Artificial Intellegence)used in DSS(Decision
Supportive System) ...
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Tags : Data Mining
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What type of Indexing mechanism do we need to use for a typical datawarehouse
Answered by on 2005-03-23 01:45:54: bitmap index
Latest Answer: Space requirements for indexes in a warehouse are
often significantly larger than the space needed to store the data,
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especially for the fact table and particularly if the indexes are
B*trees.Hence, you may want to keep indexing on the fact table
to a ...
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Differences between star and snowflake schemas
Answered by sudhakar on 2005-05-09 18:32:18: star schema
uses denormalized dimension tables,but in case of snowflake
schema it uses normalized dimensions to avoid redundancy...
Latest Answer: star schema uses denormalized dimension tables,but
in case of snowflake schema it uses normalized dimensions to
avoid redundancy... ...
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What is Difference between E-R Modeling and Dimentional Modeling.
Latest Answer: E-R Modeling is a model for OLTP, optimized for
Operational database, namely insert, update, delete data and
stressing on data relational integrity.Dimensional Modeling is a
model for OLAP, optimized for retrieving data because it's
uncommon to update ...
Read Answers (7) | Asked by : Srinu
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Why fact table is in normal form?
Latest Answer: The Fact table is central table in Star schema, Fact
table is kept Normalized because its very bigger and so we
should avoid redundant data in it. Thats why we make different
dimensions there by making normalized star schema model
which helps in query ...
Read Answers (7) | Asked by : mallikharjuna reddy
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What is junk dimension?what is the difference between junk dimension and
degenerated dimension?
Latest Answer: Junk Dimension also called as garbage dimension. A
garbage dimension is a dimension that consists of low-cardinality
columns such as codes, indicators, status,and flags. The garbage
dimension is also referred to as a junk dimension. Attributes in a
garbage ...
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What are slowly changing dimensions
Latest Answer: The definition of slowly changing dimension is in its
name only. The dimension which changes slowly with time. A
customer dimension table represents customer. When
creating a customer, normal assumption is it is independent of
time. But what if address ...
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How do you load the time dimension
Latest Answer: create a procedure to load data into Time Dimension.
The procedure needs to run only once to popullate all the data.
For eg, the code below fills up till 2015. You can modify the code
to suit the feilds in ur table.create or replace procedure ...
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Difference between Snow flake and Star Schema. What are situations where Snow flake
Schema is better
Difference between Snow flake and Star Schema. What are
situations where Snow flake Schema is better than Star Schema
to use and when the opposite is true?
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What is a linked cube?
A cube can be stored on a single analysis server and then defined
as a linked cube on other Analysis servers. End users connected
to any of these analysis servers can then access the cube. This
arrangement
Latest Answer: Hi All,Could you please let me know what is Replicate
Cube & Transparent Cube?Thanks & regards,Amit Sagpariya ...
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What is the datatype of the surrgate key
Latest Answer: It is a system generated sequence number, an
artificial key used in maintaining history.It comes while handling
slowly changing dimensions ...
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×For 80GB Datawarehouse How many records are there in Fact Table There are 25
Dimension and 12 Fact
For 80GB Datawarehouse How many records are there in Fact
Table There are 25 Dimension and 12 Fact Tables
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×How data in datawarehouse stored after data has been extracted and transformed
from hetrogeneous sources
How data in datawarehouse stored after data has been extracted
and transformed from hetrogeneous sources and where does the
data go from datawarehouse.
Read Answers (6) | Asked by : elektra
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What is the role of surrogate keys in data warehouse and how will u generate them?
Latest Answer: A surrogate key is a substitution for the natural
primary key. We tend to use our own Primary keys (surrogate
keys) rather than depend on the primary key that is available in
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the source system. When integrating the data, trying to work
with ...
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What are the various Reporting tools in the Market
Answered by Hemakumar on 2005-04-12 05:40:50:
Cognos BusinessObjects MicroStrategies Actuate
Latest Answer: Dear friends you have mentioned so many reporting
tools but missed one open source tool (java based)that is jasper
reportsunfortunatly i am working on that. ...
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What is Normalization, First Normal Form, Second Normal Form , Third Normal
Form
Answer posted by Badri Santhosh on 2005-05-18 09:40:29:
Normalization : The process of decomposing tables to eliminate
data redundancy is called Normalization. 1N.F:- The table should
caontain
Latest Answer: Normalization:It is the process of efficiently organizing
data in a database.There are 2-goals of the normalization
process: 1. Eliminate redundant data 2. Ensure data
dependencies make sense(only storing related data in a
table)First Normal ...
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What does level of Granularity of a fact table signify
Latest Answer: Granularity means nothing but it is a level of
representation of measures and metrics.The lowest level is called
detailed dataand highest level is called summary dataIt depends
of project we extract fact table significanceBye ...
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What are non-additive facts
Latest Answer: Non additive facts are the facts that do not participate
in arithmetic caliculations. for example in stock fact table there
will be opening and closing balances along with qty sold and amt
etc. but opening and closing balances were never used in
arithmetic ...
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What is VLDB
Answered by Kiran on 2005-05-06 20:12:19: The perception of
what constitutes a VLDB continues to grow. A one terabyte
database would normally be considered to be a VLDB.
Latest Answer: Very Large Database (VLDB)it is sometimes used to
describe databases occupying magnetic storage in the terabyte
range and containing billions of table rows. Typically, these are
decision support systems or transaction processing applications
serving large ...
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What is SCD1 , SCD2 , SCD3
Latest Answer: SCD1, SCD2, SCD3 are also called TYPE1, TYPE2,
TYPE3 dimensions Type1: It never maintains history in the target
table. It keeps the most recent updated record in the data base.
Type2: It maintains full history in the target. It maintains history
by ...
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Why are OLTP database designs not generally a good idea for a Data Warehouse
Answer posted by Shri Dana on 2005-04-06 19:04:05: OLTP
cannot store historical information about the organization. It is
used for storing the details of daily transactions while a
datawarehouse is a huge
Latest Answer: OLTP databases are generally volatile in nature which
are not suitable for datawarehouses which we use to store
historic data ...
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What is a CUBE in datawarehousing concept?
Latest Answer: CUBE is used in DWH for representing
multidimensional data logically. Using the cube, it is easy to
carry out certain activity e.g. drill down / drill up, slice and dice,
etc. which enables the business users to understand the trend of
the business. ...
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What is the main differnce between schema in RDBMS and schemas in
DataWarehouse....?
Latest Answer: Diff b.w OLTP and OLAP :------------------------OLTP
Schema :* Normalized * More no.of trans* Less time for queries
execution* More no.of users* Have Insert,delete and update
trans. OLAP (DWH) Schema :* De Normalized * Less no.of
trans* ...
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Tags : RDBMS
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What is meant by metadata in context of a Datawarehouse and how it is important?
-
Latest Answer: meta data is stored in repository only not in dataware
house .. but we r placing our repository in database in that way ur
correct ,,but not directly stored in the dataware house plz check it
mam ...
Read Answers (5) | Asked by : Meenal Srivastava
Tags : Metadata
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Wht r the data types present in bo?n wht happens if we implement view in the designer
n report
Latest Answer: hi venkatesh dimension , measure, detail are objects
type.data types are character, date and numeric ...
Read Answers (5) | Asked by : mayuri
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×What is the definition of normalized and denormalized view and what are the
differences between them
What is the definition of normalized and denormalized view and
what are the differences between them
Read Answers (5) | Asked by : sasi
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What is the main difference between Inmon and Kimball philosophies of data
warehousing?
Latest Answer: RalfKimball: he follows bottum-up approach i.e., first
create individual Data Marts from the existing sources and then
create Data Warehouse.BillImmon: he follows top-down approach
i.e., first create Data Warehouse from the existing ...
Read Answers (5) | Asked by : MF
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*Explain degenerated dimension in detail.
Latest Answer: A Degenerate dimension is a Dimension which has
only a single attribute.This dimension is typically represented as
a single field in a fact table.Degenerate Dimensions are the
fastest way to group similar transactions.Degenerate Dimensions
are used when ...
Read Answers (5) | Asked by : sharat
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What is the need of surrogate key;why primary key not used as surrogate key
Latest Answer: Datawarehousing depends on the surrogate key not
primary key, for suppose if u r taking the product price it will
change over the time, but product no. will not change but price
will change over the time to maintain the full hystorical data ...
Read Answers (5) | Asked by : rammohan
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How do you connect two fact tables ? Is it possible ?
Latest Answer: The only way to connect two fact tables is by using
conformed dimension. ...
Read Answers (5) | Asked by : ssaravalli
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×Explain the flow of data starting with OLTP to OLAP including staging ,summary
tables,Facts and dimensions.
Explain the flow of data starting with OLTP to OLAP including
staging ,summary tables,Facts and dimensions.
Read Answers (5) | Asked by : madhuom
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What are the Different methods of loading Dimension tables
Latest Answer: The answer to this depends on what kind of
Dimension are we loading. If it is not changing , then simply
insert. If it is slowly changing dim of type 1 , update else
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insert(50% of the time)Type 2, Only Insert (50% of the time)Type
3 ,Rarely used as we ...
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What are modeling tools available in the Market
Latest Answer: There is one more data modelling tool available in the
market and that is "KALIDO".This is end to end data warehousing
tool. Its a unique and user friendly tool. ...
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What is real time data-warehousing
Latest Answer: Real time Data warehousing means combination of
hetrogenious databases and query and analysis purpose and
Decisionmaking and reporting purpose. ...
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×What are Semi-additive and factless facts and in which scenario will you use such
kinds of fact tables
What are Semi-additive and factless facts and in which scenario
will you use such kinds of fact tables
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What is degenerate dimension table?
Latest Answer: Degenerate Dimensions : If a table contains the
values, which r neither dimesion nor measures is called
degenerate dimensions.Ex : invoice id,empno ...
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What is Data warehosuing Hierarchy?
Latest Answer: hierarchy is an ordered series of related dimension
objects grouped together to perform the multidimensional
analysis.Multidimensional analysis is a technique to modify the
data,so that the data can be viewed from different
perspectives and at different ...
Read Answers (4) | Asked by : Venu
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What is the difference between view and materialized view
Latest Answer: View is a logical reference to a database table. But
Meterial View is actual table and we can refresh data in time
intervels. If you made any change in database table that change
will effect into view but not meterialize view.. ...
Read Answers (4) | Asked by : Aashish Jain
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*What are the different architecture of datawarehouse
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Latest Answer: Architecture 1:Source=>Staging=>DWHArchitecture
2:Source=>Staging=>Datamarts ...
Read Answers (4) | Asked by : stalin.thangaraj
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What is hybrid slowly changing dimension
Latest Answer: Hybrid SCDs are combination of both SCDÂ 2 and SCD
3.Whatever changes done in source for each and every record
there is a new entry in target side, whether it may be UPDATE or
INSERT. There is new column added to provide the previous
record info (generally ...
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×What is the difference between star schema and snow flake schema ?and when we
use those schema's?
What is the difference between star schema and snow flake
schema ?and when we use those schema's?
Read Answers (4) | Asked by : swarna
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Can you convert a snowflake schema in to star schema?
Latest Answer: Star ----->Snow Flake also vice versa is possibleIn Star
SchemaWhen we try to access many attributes or few attributes
from a single dimension table the performance of the query falls.
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So we denormalize this dimension table into two or sub
dimensions. ...
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Explain the situations where snowflake is better than star schema
Latest Answer: A snowflake schema is a way to handle problems that
do not fit within the star schema. It consists of outrigger tables
which relate to dimensions rather than to the fact table.The
amount of space taken up by dimensions is so small compared to
the ...
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What are Aggregate tables
Latest Answer: Aggregate table contains the summary of existing
warehouse data which is grouped to certain levels of
dimensions.Retrieving the required data from the actual table,
which have millions of records will take more time and also
affects the server ...
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What is a general purpose scheduling tool
Latest Answer: A sheduling tool is a tool which is used to shedule the
datawarehouse jobs...All the jobs which does some process are
sheduled using this tool, which eliminates the manual
intervension. ...
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Which columns go to the fact table and which columns go the dimension table
Answered by Satish on 2005-04-29 08:20:29: The Aggreation or
calculated value colums will go to Fac Table and details
information will go to diamensional table.
Latest Answer: Before broken into coloumns is going to the factAfter
broken going to dimensions ...
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Why should you put your data warehouse on a different system than your OLTP system
Latest Answer: An DW is typically used most often for intensive
querying . Since the primary responsibility of an OLTP system is
to faithfully record on going transactions
(inserts/updates/deletes), these operations will be considerably
slowed down by the heavy querying ...
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©What is the main FUNCTIONAL difference between ROLAP,MOLAP,HOLAP?
(NOT AS A RELATIONAL,MULTI, HYBRID?)
Latest Answer: The FUNCTIONAL difference between these is how
they information is stored. In all cases, the users see the data as
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a cube of dimensions and facts.ROLAP - detailed data is stored in
a relational database in 3NF, star, or snowflake form. Queries ...
Read Answers (3) | Asked by : purna chowdary
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©Is it correct/feasible develop a Data Mart using an ODS?
the ODS is technically designed to be used as the feeder for the
DW and other DM's -- yes. It is to be the source of truth.Read the
complete thread at http://asktom.oracle.com/pls/ask/f?
p=4950:8:16165205144590546310::NO::F4950_P8_DISPLAYID,F4
950_P8_CRITERIA:30801968442845,
Latest Answer: Hi According to Bill Inmon's paradigm an enterprize
can have one datware house and datamarts source their
information from the datawarehouse. In the dataware house,
information is stroed in 3rd Normalization. This Dataware house is
build on ODS. You ...
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©What are the possible data marts in Retail sales.?
Latest Answer: product informationstore time ...
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×What is BUS Schema?
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Latest Answer: Bus Schema : Let we consider/explain these in x,y
axis Dimension Table : A,B,C,D,E,F ...
Read Answers (3) | Asked by : Reddeppa
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What are the steps to build the datawarehouse
Latest Answer: 1.Understand the bussiness requirements.2.Once the
business requirements are clear then Identify the
Grains(Levels).3.Grains are defined ,design the Dimensional
tables with the Lower level Grains.4.Once the Dimensions are
designed,design the Fact table ...
Read Answers (3) | Asked by : stalin
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*What is rapidly changing dimension?
Latest Answer: A rapidly changing dimension is a result of poor
decisions during the requirements analysis and data modeling
stages of the Data Warehousing project. If the data in the
dimension table is changing a lot, it is a hint that the design
should be revisited. ...
Read Answers (3) | Asked by : Deeprekha
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What is data cleaning? how is it done?
Latest Answer: it is a process of identifing and changing the
inconsistencies and inaccuracies ...
Read Answers (3) | Asked by : sahira2000
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*Do u need seperate space for Datawarehouse & Data mart
Latest Answer: I think the comments made earlier are not specific.We
dont required any seperate space for data mart and data where
house unless until those marts are too big or client required.We
can maintain both in a same schema. ...
Read Answers (3) | Asked by : chramgopal
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What is source qualifier?
Latest Answer: Source qualifier is a transformation which extracts
data from the source. Source qualifier acts as SQL query when
the source is a relational database and it acts as a data
interpreter if the source is a flatfile. ...
Read Answers (3) | Asked by : spavate
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Explain ODS and ODS types.
Latest Answer: It is designed to support Operational Monitoring. It is
subject oriented,integrated database which holds the
current,detailed data.data here is volatile ...
Read Answers (3) | Asked by : chetan
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What is a level of Granularity of a fact table
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Latest Answer: It also means that we can have (for example) data
agregated for a year for a given product as well as the data can
be drilled down to Monthly, weekl and daily basis...teh lowest
level is known as the grain. going down to details is Granularity ...
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How are the Dimension tables designed
Latest Answer: Find where data for this dimension are
located. Figure out how to extract this data. Determine how to
maintain changes to this dimension (see more on this in the next
section). Change fact table and DW population routines. ...
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×1.what is incremental loading?2.what is batch processing?3.what is cross reference
table?4.what is aggregate
1.what is incremental loading?2.what is batch processing?3.what
is cross reference table?4.what is aggregate fact table
Read Answers (2) | Asked by : usha
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Give examples of degenerated dimensions
Latest Answer: Degenerated Dimension is a dimension key without
corresponding dimension. Example: In the PointOfSale
Transaction Fact table, we have: Date Key (FK), Product Key
(FK), Store ...
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Read Answers (2) | Asked by : stalin
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What is the difference between Datawarehouse and Datawarehousing
Latest Answer: dataware house is a container to store the historical
datawhere as dataware hosuning is a process or technique to
analyze tha data in the ware house ...
Read Answers (2) | Asked by : shivaleela
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Summarize the differene between OLTP,ODS AND DATA WAREHOUSE ?
Latest Answer: ODS: this is operational data stores, which means the
real time transactional databases. In data warehouse, we extract
the data from ODS, transform in the stagging area and load into
the target data warehouse.I think, earlier comments on the ODS
is little ...
Read Answers (2) | Asked by : thumatinagaraju
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שWhat is the purpose of "Factless Fact Table"? How it is involved in Many to
many relationship?
What is the purpose of "Factless Fact Table"? How it is involved in
Many to many relationship?
Read Answers (2) | Asked by : abhijit.joshi
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What is the difference between Data modelling and Dimensional modelling?
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Latest Answer: Dimensional Modelling is the Analysis of the
Transactional Data (Facts) based on Master Data
(Dimensions).Data Modeling is the process of creating a data
model by applying a data model theory to create a data model
instance.Regards,Sridhar Tirukovela ...
Read Answers (2) | Asked by : Saravanan
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Explain the advanatages of RAID 1, 1/0, and 5. What type of RAID setup would you put
your TX logs
Latest Answer: Raid 0 - Make several physical hard drives look like
one hard drive. No redundancy but very fast. May use for
temporary spaces where loss of the files will not result in loss of
committed data. Raid 1- Mirroring. Each hard drive in the ...
Read Answers (1)
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©What is the life cycle of data warehouse projects
Latest Answer: STRAGEGY & PROJECT PLANNINGDefinition of scope,
goals, objectives & purpose, and expectationsEstablishment of
implementation strategyPreliminary identification of project
resourcesAssembling of project teamEstimation of project
scheduleREQUIREMENTS ...
Read Answers (1) | Asked by : raki2kaki
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What is slicing and dicing? Explain with real time usage and business reasons of it's use
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Latest Answer: Hi, Slicing and Dicing is a feature that helps us in
seeing the more detailed information about a particular thing. For
eg: You have a report which shows the quarterly based
performance of a particular product. But you want to see it ...
Read Answers (1) | Asked by : Sheen
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What is meant by Aggregate Factable?
Factable having aggregated calculations like sum, avg, sum(sal)
+sum(comm),these are Aggregated FactableCheersPadhu
Latest Answer: An aggregate fact table stores information that has
been aggregated, or summarized from a detail fact table.
Aggregate fact table ares useful in improving query
performance. Often an aggregate fact table can be maintained
through the use of ...
Read Answers (1) | Asked by : padmanathan
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What is difference between BO, Microstrategy and Cognos
Latest Answer: BO is a ROLAP Tool,Cognos is a MLAP Tool and
MicroStrategy is a HLAP Tool ...
Read Answers (1) | Asked by : prasad
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What is data validation strategies for data mart validation after loading process
Latest Answer: Data validation is to make sure that the loaded data is
accurate and meets the business requriments.Strategies are
different methods followed to meet the validation requriments ...
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Read Answers (1) | Asked by : PREM NARAYAN SAINI
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Which automation tool is used in data warehouse testing?
Latest Answer: No Tool testing in done in DWH, only manual testing
is done. ...
Read Answers (1) | Asked by : Chaitra Bharadwaj
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What are the advantages data mining over traditional approaches?
Latest Answer: Data Mining is used for the estimation of future. For
example, if we take a company/business organization, by using
the concept of Data Mining, we can predict the future of business
interms of Revenue (or) Employees (or) Cutomers (or) Orders ...
Read Answers (1) | Asked by : Rohit Gupta
Tags : Data Mining
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*What is the differences between the static and dynamic caches?
Latest Answer: static cache stores overloaded values in the memory
and it wont change throught the running of the session where as
dynamic cache stores the values in the memory and changes
dynamically duirng the running of the session used in scd types --
where target ...
Read Answers (1) | Asked by : jyothi
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×What is cube and why we are creating a cube what is diff between etl and olap cubes
any budy ans
What is cube and why we are crating a cube what is diff between
etl and olap cubes any budy ans plz?
Read Answers (1) | Asked by : thumati nagaraju
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×What are the various attributes in time dimension, If this dimension has to consider
only date of birth
What are the various attributes in time dimension, If this
dimension has to consider only date of birth of a citizen of a
country?
Read Answers (1) | Asked by : naag
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©What are late arriving Facts and late arriving dim ? How does it impacts DW?
Latest Answer: Late arriving Fact table:Â Â Â Â Â Â Â This is rarely
happens in practice. For example there was a credit card of HDFC
transaction happened on 25th Mar 2005, but this record we
received on 14th Aug 2007. During this period there is a
possibility of change ...
Read Answers (1) | Asked by : Navin
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What are the various techniques in ER modelling?
Latest Answer: ER modelling is the first step for any Database project
like Oracle, DB2.1. Conceptual Modelling2. Logical Modelling3.
Physical Modelling ...
Read Answers (1) | Asked by : bharat
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Explain Bill Inmon's versus Ralph Kimball's Approach to Data Warehousing.
Bill Inmon vs Ralph Kimball In the data warehousing field, we
often hear about discussions on where a person / organization's
philosophy falls into Bill Inmon's camp or into Ralph Kimball's
Latest Answer: Bill inmon : Data warehouse à Data martRalph Kimbol
: Data mart à Data warehouseCheers,Sithu,
[email protected] ...
Read Answers (1) | Asked by : Pranay
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×I want to know how to protect my data over networ.which software will be use
View Question | Asked by : chandra
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×Information Packages(IP) are advanced by some author as a way of building
dimensional models - e.g.
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Information Packages(IP) are advanced by some author as a way
of building dimensional models - e.g. star schemas. Explain what
IPs are and Give an example of it\'s use in building a dimensional
model.
View Question | Asked by : Rokeya Begum
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What is Replicate,Transparent and Linked cubes?
View Question | Asked by : navsa
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What is meany by survey and extraction tables in DW?
View Question | Asked by : stalin Answer
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What is the business rule for writing the requirement?
View Question | Asked by : Gunnampalli
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How do you load the data conditionally by run steps ?
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