... 1: Data Mining Task and Transformation 668
What Is Data Mining? 668
SSAS Data Mining Algorithms 670
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PART VI ADVANCED SSIS AND DATA QUALITY TOPICS
CHAPTER 18 SSIS and Data Mining ... dimensions.
A datawarehouse is often the source for specialized analytical database management sys-
tems, such as SQLServer Analysis Services (SSAS). SSAS is a system that performs specialized
analyses ... review the database schema.
1. Start SSMS and connect to your instance of SQL Server. Expand the Databases folder
and then the AdventureWorksDW2012 database.
2. Right-click the Database Diagrams folder...
... for SQLServerData Mining, and
includes several examples of the programmatic creation, training, and
application of data mining objects.
Chapter 17: Extending SQLServerData Mining — This chapter
describes ... States at (317) 572-3993, or fax (317) 572-4002.
Library of Congress Cataloging-in-Publication Data
MacLennan, Jamie.
Data mining withMicrosoftSQLserver 2008 / Jamie MacLennan, Bogdan Crivat, ... Magazine,aswellasnumerouspostingsonthe
SQLServerDataMining.com website and on the MSDN Forums. He presented
at various Microsoft and data mining professional conferences. Crivat also
blogs about SQLServerData Mining at
www.bogdancrivat.net/dm.
Maclennan...
... there are hundreds of online transaction processing (OLTP)
databases and more than 70 data warehouses. The first step is to pull the
relevant data into a database or adata mart where the data analysis ... already an existing
data warehouse on the subject of your analysis. However, in many cases, the
data in the datawarehouse is not rich enough and must be supplemented with
additional data. For ... purchase
demographic data to build models that meet your business requirements.
Data Cleaning and Transformation
Data cleaning and transformation are the most resource-consuming steps in
a data...
... Create an application that uses SQL_ DMO to extract the data from the database and transform the data
into standard electronic data interchange (EDI) files.
Answer: A.
Explanation:
The data ...
database and then add the size of the model database. All new databases are based on the model database.
The model database has an initial size of 1 MB. A quick estimate of the user data of this table ... procedures as input.
Note:
The SQL language has two main divisions: Data Definition Language, which is used to define and
manage all the objects in an SQL database, and the Data Manipulation Language,...
... Miniatures Databases
and Other Supporting Materials
All of the samples in this book are based on business scenarios for a fictional company
called Maximum Miniatures, Inc. You can download the ... Questions and Their Answers
In some cases, our data may hold answers to questions we have not even thought to
ask. The data may contain trends, correlations, and dependencies at a level of detail that ...
Armée,” Napoleon Bonaparte had a fairly decent strategic plan for his campaign in
Belgium. However, due to some poor decision making by his marshals, Napoleon
suffered a major defeat at a...
... creation of data marts, rather than the perhaps more familiar term, data
warehouse. Data warehouses tend to be large, one-stop-shopping repositories where all the historical data
for the organization ... when data is output for analysis and reporting. In adata mart,
it is acceptable to have data repeated (denormalized) for the sake of speed.
When designing adata mart, the rules of normalization ... database. Instead of being built around the rules of normalization, data marts are
built for speed of access. Adata mart is still a relational database, but it is designed to
require fewer table...
... 10012
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Table of Contents
Preface 1
Chapter 1: Designing the DataWarehouse for Analysis Services 7
The source database 7
The OLTP database 8
The datawarehouse 9
The data mart 11
Data ... we need to have all of our source data at
hand and this is not always possible.
Data updates are an even bigger problem still, both on facts and dimensions. Data
updates on fact tables suffer ... working with
large volumes of call center telecom data at a large insurance company. In addition,
Deepak has also worked with performance data and Key Performance Indicators
(KPI's) for...
... package, the Data Flow tab handles the transformation of data. Every
package has a single Control Flow, but can have many Data Flows. Almost
anything that manipulates data falls into the Data ... Export Wizard, right-click the database you want to import
data from or export data to SQLServer Management Studio and select Tasksd Import
Data (or Export Data based on what task you’re ... important task that loads and transforms data into an
OLE DB Destination.
Execute Package Task—Enables you to execute a package from within a package, making
your SSIS packages modular.
...
... Project Add Item Template 149
Creating aData Source in the Report Wizard 149
Creating aData Source When Defi ning a Dataset 152
Data Sources and Query Languages 153
T -SQL Query Design 154
Data Warehouse ... 719
Creating the DataSetParameter Class 720
Declarations 720
Implementing IDataParameter 720
ParameterName Property 721
Value Property 722
Creating the DataSetParameterCollection Class 723
Namespaces ...
Sydney and is an internationally recognized speaker who has spoken at TechEd USA, Australia, and
even China. His passion about BI, in particular with visualization of data, resulted in Grant creat-
ing...
... strong, and it’s still the basis for the leading database platforms—what we call
relational database management systems (RDBMSs).
SQL is an attempt to create a language based on the relational model. ... to
match the detail with the aggregates. Here’s a query that implements this approach:
WITH Aggregates AS
(
SELECT custid, SUM(val) AS sumval, AVG(val) AS avgval
FROM Sales.OrderValues ... the set-based approach to addressing T -SQL querying tasks is. T -SQL is
a dialect of standard SQL (both ISO and ANSI standards). SQL is based (or attempts to be based) on
the relational model,...
... the concept of a
database in the SQLServer relational database. An instance of Analysis Services can contain many data-
bases, and each database can be thought of as a self-contained collection ... can also be used to write queries against databases.
Databases are made up of one or more tables of data. Again, a table in the Tabular model is very
similar to a table in the relational database ...
create a new database in Analysis Services or alters the structure of an existing database. SQLServer
Management Studio (SSMS), a tool that can be used to manage databases that have already...
... SQLServer BI stack,
including SQLServer Fast Track DataWarehouse appliances, SQLServer Parallel
Data Warehouse edition, SQLServer Integration Services, Analysis Services,
Master Data ... like, you can create a database snapshot. A snapshot
is nothing more than a le (in the Data- tier Application Component Package, [dacpac] format) that
holds the serialized state of a database model, ... experience with the new SQLServer Database Project
type and local database runtime (LocalDB).
The T -SQL script les in aSQLServer Database Project are all declarative in nature (only CREATE
statements;...
... place. The
same applies to databases and good database design.
An interesting point for all PC-based database programmers is that Microsoft
SQLServer does not store the information or data in ... information or data in the database. Remember,
the database is a container. Instead, the server stores your data in a table. The
Microsoft SQLServer Black Book: Preinstallation Considerations
http://www.itknowledge.com/reference/standard/1576101495/ch01/005-006.html ... database. You can, and often will, have multiple
user-defined databases residing on your server. These databases are where the
production information and code reside. Other databases are installed...