select  [name], ‘<img src=”‘ + ” +IMAGEURL + ‘”‘ + ‘ Detail: ‘ + [description]+ ‘, ‘+ ‘Price in USD:’+ ‘, ‘+ cast(PRICE as CHAR)+ ‘, ‘+ ‘<a href=”‘ + ” +BUYURL +  ‘”>[Read More and Booking information] </a>’

,  KEYWORDS from

 dbo.['Hotels_com-International_Hotels$']

 where KEYWORDS like ‘%doha%’ or

 KEYWORDS like ‘%Manama%’ or

 KEYWORDS like ‘%Mumbai%’ or

 KEYWORDS like ‘%Tokyo%’ or

 KEYWORDS like ‘%Dubai%’ or

 KEYWORDS like ‘%Dallas%’ or

 KEYWORDS like ‘%Houston%’ or

 KEYWORDS like ‘%Chicago%’ or

 KEYWORDS like ‘%NYC%’  or

 KEYWORDS like ‘%toronto%’

A CTE can be used to:

*

Create a recursive query. For more information, see Recursive Queries Using Common Table Expressions.
*

Substitute for a view when the general use of a view is not required; that is, you do not have to store the definition in metadata.
*

Enable grouping by a column that is derived from a scalar subselect, or a function that is either not deterministic or has external access.
*

Reference the resulting table multiple times in the same statement.

Using a CTE offers the advantages of improved readability and ease in maintenance of complex queries. The query can be divided into separate, simple, logical building blocks. These simple blocks can then be used to build more complex, interim CTEs until the final result set is generated.

CTEs can be defined in user-defined routines, such as functions, stored procedures, triggers, or views.

Example

Example:

Five rows have to be inserted into the dbo.Products table. After
this, ProductID has to be returned for each of the rows. Following Transact-SQL batch,
can be used;

INSERT into dbo.Products(ProductName)OUTPUT inserted.ProductID,
inserted.ProductName VALUES (‘ProductOne’),(‘ProductTwo’),(‘ProductThree’),(‘ProductFour’),(‘ProductFive’);

Source: Technet.Microsoft.com [1]

The FreeText predicate attempts to do just that – understand the meaning of a phrase or sentence. It does this by breaking a phrase into individual words and then using the full-text indexing thesaurus to match all forms of these words, applying language rules. It may choose to return text that only contains forms of some of these words. As each row is considered for selection, an algorithm the calculates a relative ranking value, used to qualify each record against that matching phrase.[1]

Is a predicate used in a WHERE clause to search columns containing character-based data types for values that match the meaning and not just the exact wording of the words in the search condition. When FREETEXT is used, the full-text query engine internally performs the following actions on the freetext_string, assigns each term a weight, and then finds the matches.[2]

* Separates the string into individual words based on word boundaries (word-breaking).
* Generates inflectional forms of the words (stemming).
* Identifies a list of expansions or replacements for the terms based on matches in the thesaurus.

Go to the source

Reference 1: Beginning Transact SQL with SQL-Server 2000 and 2005 by Paul Turley and Dan Wood
Reference 2 : MSDN Microsoft

Essentially it has explains the use of Microsoft business intelligence tools and their impact on achieving productivity at CHOP – Children’s Hospital of Philadelphia. The hospital’s department of Pathology and laboratory medicine collects and analyzes the patient samples in specialized laboratories, needed to improve its data analysis and operational management process.

Since 1999 to until early 2008 the number specimen collected and analyzed has doubled and the hospital has an outdated and inefficient system in place according to Dr. Bryan Wolf, Pathologist-in-Chief, Chair, and Professor of Pathology and Laboratory Medicine at CHOP. Following issues are noted as follows;

Problem Areas

1- For example, technologists and pathologists used a laboratory-processing computer system from Meditech, which the department had installed in the late 1980s and have the following deficiencies.
2- Although, the old system was good at collecting the data but limited in turning the data in actionable information to make the organization efficient.
3- The old system was not able to facilitate data analysis to improving the productivity of the organization.
4- It was difficult to extract the useful data.
5- There was a Manual specimen collection process because many specialized laboratory have been consolidated but not all employees use the same process which resulted in slow method of specimen reporting information.
6- In addition to the above there was no way of checking employee performance and accountability.

Critical Success factor

In view of the above it was observed that old system was inefficient because of variations in specimen handling in every step resulting in significant avoidable delay. This deficiency was rooted out from the system by using business process management and business intelligence tools.

Solution

After consulting with various vendors the hospital used the services of USC consulting group
A Microsoft Certified Partners. In 2007 UCSG Group helped the COHP install a new integrated management solution based on Microsoft BI Technologies. Because of the new integrated system process of organizing and data distribution was streamlined.

The new solution at COHP named a LINCS – Lean Information Control System includes the user required enhance analysis and specimen data extraction from old system to SQL Server 2005. From there technologists and pathologists analyze and process data using MS Excel 2003 spreadsheet software, Microsoft Visio 2003 and third part tool lean view.

Read the complete Case study

Free to download, free to deploy, and free to redistribute as an embedded part of an application, SQL Server 2008 Express with Advanced Services is the fast and easy way to develop and manage data-driven applications with powerful built-in reporting and full-text search functionality.

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In this tutorial, you will learn how to use SSIS Designer to create a simple Microsoft SQL Server Integration Services package. The package that you create takes data from a flat file, reformats the data, and then inserts the reformatted data into a fact table. In following lessons, the package will be expanded to demonstrate looping, package configurations, logging and error flow.

When you install the sample data that the tutorial uses, you also install the completed versions of the packages that you will create in each lesson of the tutorial. By using the completed packages, you can skip ahead and begin the tutorial at a later lesson if you like. If this is your first time working with packages or the new development environment, we recommend that you begin with Lesson1.

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We like the above definition as it is clearly elaborating that star Schema is also relational database, because this the point many writers confused the readers specially the beginners by writing the disadvantages of Relational Database systems, they fail to clearly explain in easy term what is a Star Schema. So according to the following definition Star schema is also RDBMS Schema which have been denormalized from highly normalized OLTP databases.

[1] Brian Larson delivering Business Intelligence with SQL Server 2008 – page 35 to 37

An important feature of relational systems is that a single database can be spread across several tables. This differs from flat-file databases, in which each database is self-contained in a single table.

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