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70-761 Querying Data with Transact-SQL

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70-761 exam Dumps Source : Querying Data with Transact-SQL

Test Code : 70-761
Test Name : Querying Data with Transact-SQL
Vendor Name : Microsoft
: 130 Real Questions

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Microsoft Querying Data with Transact-SQL

statistics Compression in SQL Server 2012 | Real Questions and Pass4sure dumps

This chapter is from the publication 

With records explosion occurring in the business and business, further and further records is being saved within SQL Server. although, the databases aren't any longer averaging 100GB in size as they had been 10 years ago. Now databases have become bigger than ever, with sizes from 10 to 50TB now being commonplace. furthermore, it's often best a choose few tables in the database that are turning out to be to these list-breaking sizes. To fight this, besides the fact that storage is getting more affordable, Microsoft has introduced information compression and equipment, particularly the statistics Compression Wizard and certain Transact-SQL statements, to facilitate records compression. for this reason, a DBA can compress tables and indexes to conserve cupboard space at a moderate CPU charge. one of the main design desires of data compression changed into to shrink records warehouse reality tables. reality tables are usually the biggest tables within an information warehouse as a result of they include nearly all of the data linked to a database.

SQL Server offers two methods, page and Row compression, to in the reduction of facts storage on disk and velocity I/O performance via cutting back the volume of I/O required for transaction processing. web page and row compression work in diverse, yet complementary, techniques and are price further discussion.

web page compression uses an algorithm referred to as “deduplication.” When deduplicating, because the name implies, SQL Server appears for duplicate values that seem time and again within the information page. for instance, the desk HumanResources.worker within the AdventureWorks2012 database includes an nvarchar(50) column known as JobTitle. This column consists of many reproduction values—issues like “Design Engineer” and analysis and construction manager.” These values might seem many times on a single statistics web page. using page compression, SQL Server can remove such duplicate values within an information web page by using replacing each reproduction price with a tiny pointer to a single appearance of the full price. (by the way, this is known as “dictionary-based compression.”)

via evaluation, row compression doesn't truly use a compression algorithm per se. instead, when row compression is enabled, SQL Server without problems gets rid of any added, unused bytes in a hard and fast facts type column, equivalent to a CHAR(50) column.

web page and row compression aren't compatible, however via enabling page compression SQL Server instantly contains row compression. that you may also specify compression per partition, so partitioned tables could have multiple compression requirements without delay.

using the statistics Compression Wizard to Compress house

The facts Compression Wizard can also be used to research and compress space linked to a desk stored in a heap or clustered index constitution. furthermore, it may well also guide compression tables the usage of nonclustered index and index views. finally, if the table is partitioned, a DBA can compress parts of the tables, and various partitions wouldn't have to keep the identical compressed settings.

The facts Compression Wizard may also be invoked by using appropriate-clicking any desk or index and opting for Storage after which manipulate Compression. step one is to opt for the compression type according to a partition number, otherwise you can choose to use the same compression for all partitions. The compression options consist of Row, page, or None, indicating no compression.

The subsequent step is to click the Calculate button to overview the disk charge discount rates. The charge rate reductions might be displayed within the Requested Compressed space column in keeping with a partition number. here's displayed in figure 3.14. The closing step contains settling on an output choice. it is viable to create a script, run immediately, or time table the project to start at a later time.

Figure 3.14.

determine 3.14. Specifying the compression category with the facts Compression Wizard.

information Compression with Transact SQL

For those of you who don't like using a GUI, the following examples outline the default syntax for compressing records with Transact-SQL.

creating a table with Row Compression Enabled CREATE desk <table identify> (<Column 1. int, <Column 2> nvarchar(50) ) WITH (DATA_COMPRESSION = ROW); GO making a desk with web page Compression Enabled CREATE table <table name> (<Column 1. int, <Column 2> nvarchar(50) ) WITH (DATA_COMPRESSION = web page); GO

the following Transact-SQL syntax illustrates compressing the revenue Order aspect desk within the AdventureWorks2012 database with the aid of the page compression surroundings:

USE [AdventureWorks2012] ALTER table [Sales].[SalesOrderDetail] REBUILD PARTITION = ALL WITH (DATA_COMPRESSION = web page )

that you could monitor compression pastime with the performance counters page Compression makes an attempt/sec and page Compressed/sec found in the SQL Server entry methods Object. for instance, this Transact-SQL code will question each counters:

choose cntr_value FROM sys.dm_os_performance_counters the place counter_name LIKE 'web page Compression%'

As mentioned past, compression is blanketed simplest within the business edition of SQL Server. Compression applied sciences dramatically cut I/O requests and storage; although, the storage received is customarily at the cost of brought CPU exercise. hence, it is strongly advised that you simply test before implementing information compression in a creation workload scenario. In most transaction processing eventualities, SQL Server has CPU to spare and sorely wants greater I/O throughput. despite the fact, every now and then the development to I/O efficiency is not huge sufficient to warrant the misplaced CPU. verify to ensure that performance is not negatively impacted.

Microsoft Introduces Azure SQL facts Warehouse | Real Questions and Pass4sure dumps

Microsoft today introduced a new service in its Azure database lineup all over its construct developer conference keynote these days. The Azure SQL information Warehouse, so that it will go into public preview in June, is intended to give groups entry to an elastic petabyte-scale, information warehouse-as-a-carrier providing that may scale in response to their needs.

With SQL information Warehouse, firms can make sure that they handiest pay for the utilization they want and when they need it, Microsoft’s company VP for its information platform T.okay. “Ranga” Rengarajan informed me prior this week. consumers are billed for their Azure blob storage, as smartly because the hourly compute quotes they incur whereas working with the records. as a result of it separates compute and storage, clients handiest pay for the queries they want. This means a business can combination all of its records and best will pay for storage except it must run a quarterly file over this assistance, as an instance.


As Microsoft notes, the service is meant to supply corporations the features they expect from their databases like full indexing, partitions and columnar indexing. The business additionally argues that different statistics warehouses can take hours or days to resize, while SQL information Warehouse can regulate to a consumer’s needs in minutes. as the identify implies, the question language for the service is SQL (certainly Microsoft SQL Server’s Transact-SQL), which most builders are probably regular with at this point.


The provider can also be integrated with other tools like PowerBI for visualizing records, Azure desktop gaining knowledge of, Azure records manufacturing unit for event processing and Azure’s HDInsight Hadoop-based big facts analytics provider.

With SQL facts Warehouse, Microsoft adds yet a different product to its range of database features that now encompass SQL Database for average relational databases and the DocumentDB NoSQL doc database, in addition to tools like StorSimple for storing and securing significant amounts of statistics.

SQLXML three.0 Now purchasable | Real Questions and Pass4sure dumps

SQLXML version 3.0 is now available from Microsoft. SQLXML, additionally understand as XML for SQL Server, extends the constructed-in XML capabilities of SQL Server 2000 with expertise to create XML web functions from SQL Server kept approaches or server-side XML templates. SQLXML 3.0 additionally comprises extensions to the .web Framework that supply SQLXML programmability to the languages supported with the aid of Microsoft visual Studio .net, including C# and Microsoft visible basic .web.

SQLXML allows builders to bridge the gap between Extensible Markup Language (XML) and relational information. which you can create XML views of your existing relational records and work with it as if it were an XML file. SQLXML is your solution in case you deserve to: question relational records with XPath; question relational facts with Transact-SQL and return XML results; update relational records as if it had been XML; Load very gigantic XML info into an current SQL Server 2000 database, changing them to relational records; question your SQL Server facts by using URLs from your web browser or web application; entry SQL Server XML performance with OLE DB, Microsoft ActiveX statistics Objects (ADO), or Microsoft .web Managed classes.

adjustments within the new three.0 release consist of an up-to-date installer (Microsoft home windows Installer 2.0), up-to-date aid for Diffgrams, support for brand spanking new aspects brought since the unlock of MS visible Studio .net Beta 2, and aid for lately launched versions of the .net Framework and cleaning soap Toolkit. additionally, the elements introduced in SQLXML 1.0 and SQLXML 2.0 are blanketed within the download of SQLXML three.0.

The 3.0 liberate requires SQL Server 2000 (edition 8.00.194) and MDAC 2.6 or later to be put in earlier than the setting up may also be run. SQLXML 3.0 additionally has a dependency on MSXML edition four.0, which is blanketed with the SQLXML down load.

SQLXML 3.0 may also be downloaded at:

additional info on SQLXML can be found at:

» See All Articles by using Editor Forrest Stroud

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Querying Data with Transact-SQL

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Query XML data from a table with XML data type | real questions and Pass4sure dumps

The objective of this article is to guide Microsoft SQL Server Database Administrators on how to:

  • Create XML Schema
  • Create a table with XML data type
  • Import XML file to the table with XML data type
  • Query the XML file
  • Query the XML file and produce results, similar to results produced by Transact SQL Statements
  • Step1

    Let us create a C:\XML\Customer1.XML File as shown below. This XML file contains data related to one customer.

    <?xml version="1.0" standalone="yes"?> <Customer> <CustomerLogInfo> <Date>2007-03-31T06:40:38.0000000-05:00</Date> <user>james.brewer</user> <Userid>1AE</Userid> <ls>A-Accessible</ls> <eqtid>761</eqtid> <es>Stopped</es> <tp>30</tp> </CustomerLogInfo> <CustomerLogInfo> <Date>2007-03-31T06:40:38.0000000-05:00</Date> <user>james.brewer</user> <Userid>1AE</Userid> <ls>Not-Accessible</ls> <eqtid>870</eqtid> <es>Stopped</es> <tp>30</tp> </CustomerLogInfo> <CustomerLogInfo> <Date>2007-03-31T06:40:38.0000000-05:00</Date> <user>james.brewer</user> <Userid>1AE</Userid> <ls>A-Accessible</ls> <eqtid>97F</eqtid> <es>Started</es> <tp>30</tp> </CustomerLogInfo> </Customer>

    Step 2

    Let us create a database and create an XML Schema collection as shown below.

    USE [master] GO /****** Object: Database [XMLTest] Script Date: 04/17/2007 01:49:43 ******/ IF EXISTS (SELECT name FROM sys.databases WHERE name = N'XMLTest') DROP DATABASE [XMLTest] go create database XMLTest go use XMLTest go Create XML Schema Collection XMLTrack as N'<xs:schema attributeFormDefault="unqualified" elementFormDefault="qualified" xmlns:xs=""> <xs:element name="Customer"> <xs:complexType> <xs:sequence> <xs:element maxOccurs="unbounded" name="CustomerLogInfo"> <xs:complexType> <xs:sequence> <xs:element name="Date" type="xs:string" /> <xs:element name="user" type="xs:string" /> <xs:element name="Userid" type="xs:string" /> <xs:element name="ls" type="xs:string" /> <xs:element name="eqtid" type="xs:string" /> <xs:element name="es" type="xs:string" /> <xs:element name="tp" type="xs:int" /> </xs:sequence> </xs:complexType> </xs:element> </xs:sequence> </xs:complexType> </xs:element> </xs:schema>' go

    Note: Update the Schema collection based on your data in your XML file.

    Step 3

    Let us create a table with XML data type:

    USE [XMLTest] GO /****** Object: Table [dbo].[XMLFiles] Script Date: 04/17/2007 02:07:52 ******/ IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[XMLFiles]') AND type in (N'U')) DROP TABLE [dbo].[XMLFiles] create table XMLFiles(Fileid int identity(1,1), ImportedDate datetime constraint xmldatestamp default getdate(), Filename varchar(500), data xml (XMLTrack))

    Step 4

    Let us import the XML file they created, C:\XML\Customer1.XML, using the openrowset function as shown below.

    USE [XMLTest] go INSERT INTO XMLFiles(Filename,DATA) SELECT 'Customer1' a,* FROM OPENROWSET( BULK 'C:\XML\Customer1.xml' ,SINGLE_CLOB) as mytable go

    Note: The SINGLE_BLOB keyword imports the entire XML file to the XML data type column.

    Step 5

    Let us query the XMLFiles table using the transact SQL below.

    USE [XMLTest] go select * from XMLFiles where FileId=1 go

    This statement would produce the following results: [refer Fig 1.0].

    Fig 1.0

    When you click on the data, it also shows the XML data. [refer fig 1.1]

    <Customer> <CustomerLogInfo> <Date>2007-03-31T06:40:38.0000000-05:00</Date> <user>james.brewer</user> <Userid>1AE</Userid> <ls>A-Accessible</ls> <eqtid>761</eqtid> <es>Stopped</es> <tp>30</tp> </CustomerLogInfo> <CustomerLogInfo> <Date>2007-03-31T06:40:38.0000000-05:00</Date> <user>james.brewer</user> <Userid>1AE</Userid> <ls>Not-Accessible</ls> <eqtid>870</eqtid> <es>Stopped</es> <tp>30</tp> </CustomerLogInfo> <CustomerLogInfo> <Date>2007-03-31T06:40:38.0000000-05:00</Date> <user>james.brewer</user> <Userid>1AE</Userid> <ls>A-Accessible</ls> <eqtid>97F</eqtid> <es>Started</es> <tp>30</tp> </CustomerLogInfo> </Customer>

    Fig 1.1

    Step 6

    Now let us query the XML data from the table to produce a transact SQL like result set. Execute the below XQuery as shown below.

    SELECT ref.value ('Date', 'nvarchar(364)') as [Date], ref.value ('user', 'nvarchar(364)') as [User], ref.value ('Userid', 'nvarchar(364)') as [Userid], ref.value ('ls', 'nvarchar(364)') as [ls], ref.value ('eqtid', 'nvarchar(364)') as [eqtid], ref.value ('es', 'nvarchar(364)') as [es], ref.value ('tp', 'nvarchar(364)') as [tp] FROM XMLFiles CROSS APPLY Data.nodes ('//Customer/CustomerLogInfo') R(ref) where Fileid=1

    This would produce the results shown below [refer Fg 1.2]

    Date,User,Userid,ls,eqtid,es,tp 2007-03-31T06:40:38.0000000-05:00,james.brewer,1AE,A-Accessible,761,Stopped,30 2007-03-31T06:40:38.0000000-05:00,james.brewer,1AE,Not-Accessible,870,Stopped,30 2007-03-31T06:40:38.0000000-05:00,james.brewer,1AE,A-Accessible,97F,Started,30

    Fig 1.2

    Step 7

    Now let us repeat step 4 and import the data again.

    USE [XMLTest] go INSERT INTO XMLFiles(Filename,DATA) SELECT 'Customer1' a,* FROM OPENROWSET( BULK 'C:\XML\Customer1.xml' ,SINGLE_CLOB) as mytable go

    Step 8

    Now let us query the table as shown below.

    USE [XMLTest] go select * from XMLFiles go

    This would produce the following result.

    Fig 1.3

    Step 9

    In order to show all the data from both rows, they could write the query shown below.

    SELECT ref.value ('Date', 'nvarchar(364)') as [Date], ref.value ('user', 'nvarchar(364)') as [User], ref.value ('Userid', 'nvarchar(364)') as [Userid], ref.value ('ls', 'nvarchar(364)') as [ls], ref.value ('eqtid', 'nvarchar(364)') as [eqtid], ref.value ('es', 'nvarchar(364)') as [es], ref.value ('tp', 'nvarchar(364)') as [tp] FROM XMLFiles CROSS APPLY Data.nodes ('//Customer/CustomerLogInfo') R(ref) where Fileid=1 union all SELECT ref.value ('Date', 'nvarchar(364)') as [Date], ref.value ('user', 'nvarchar(364)') as [User], ref.value ('Userid', 'nvarchar(364)') as [Userid], ref.value ('ls', 'nvarchar(364)') as [ls], ref.value ('eqtid', 'nvarchar(364)') as [eqtid], ref.value ('es', 'nvarchar(364)') as [es], ref.value ('tp', 'nvarchar(364)') as [tp] FROM XMLFiles CROSS APPLY Data.nodes ('//Customer/CustomerLogInfo') R(ref) where Fileid=2

    This would produce the following result. Refer fig 1.4

    Date,User,Userid,ls,eqtid,es,tp 2007-03-31T06:40:38.0000000-05:00,james.brewer,1AE,A-Accessible,761,Stopped,30 2007-03-31T06:40:38.0000000-05:00,james.brewer,1AE,Not-Accessible,870,Stopped,30 2007-03-31T06:40:38.0000000-05:00,james.brewer,1AE,A-Accessible,97F,Started,30 2007-03-31T06:40:38.0000000-05:00,james.brewer,1AE,A-Accessible,761,Stopped,30 2007-03-31T06:40:38.0000000-05:00,james.brewer,1AE,Not-Accessible,870,Stopped,30 2007-03-31T06:40:38.0000000-05:00,james.brewer,1AE,A-Accessible,97F,Started,30

    Note: If you are planning to display all of the data from each row from the XML data type, you could create a stored procedure with temp table or cursor etc.

    Fig 1.4


    This article has illustrated how to create an XML Schema, create a table with XML data type, import the XML file to the table with XML data type, query the XML file and Query the XML file and produce results similar to results produced by the Transact SQL Statements result set.

    » See All Articles by Columnist MAK

    Data Compression in SQL Server 2012 | real questions and Pass4sure dumps

    This chapter is from the book 

    With data explosion occurring in the industry and enterprise, more and more data is being stored within SQL Server. However, the databases are no longer averaging 100GB in size as they were 10 years ago. Now databases are becoming larger than ever, with sizes from 10 to 50TB now being common. In addition, it is often only a select few tables within the database that are growing to these record-breaking sizes. To combat this, even though storage is getting cheaper, Microsoft has introduced data compression and tools, namely the Data Compression Wizard and specific Transact-SQL statements, to facilitate data compression. Therefore, a DBA can compress tables and indexes to conserve storage space at a slight CPU cost. One of the main design goals of data compression was to shrink data warehouse fact tables. Fact tables are typically the largest tables within a data warehouse because they contain the majority of the data associated with a database.

    SQL Server provides two methods, Page and Row compression, to reduce data storage on disk and speed I/O performance by reducing the amount of I/O required for transaction processing. Page and row compression work in different, yet complementary, ways and are worth further discussion.

    Page compression uses an algorithm called “deduplication.” When deduplicating, as the name implies, SQL Server looks for duplicate values that appear again and again within the data page. For example, the table HumanResources.Employee in the AdventureWorks2012 database contains an nvarchar(50) column called JobTitle. This column contains many duplicate values—things like “Design Engineer” and Research and Development Manager.” These values might appear many times on a single data page. Using page compression, SQL Server can remove such duplicate values within a data page by replacing each duplicate value with a tiny pointer to a single appearance of the full value. (Incidentally, this is known as “dictionary-based compression.”)

    By comparison, row compression does not actually use a compression algorithm per se. Instead, when row compression is enabled, SQL Server simply removes any extra, unused bytes in a fixed data type column, such as a CHAR(50) column.

    Page and row compression are not compatible, but by enabling page compression SQL Server automatically includes row compression. You can also specify compression per partition, so partitioned tables could have multiple compression specifications at once.

    Using the Data Compression Wizard to Compress Space

    The Data Compression Wizard can be used to analyze and compress space associated with a table stored in a heap or clustered index structure. In addition, it can also support compression tables using nonclustered index and index views. Finally, if the table is partitioned, a DBA can compress portions of the tables, and various partitions do not have to maintain the same compressed settings.

    The Data Compression Wizard can be invoked by right-clicking any table or index and selecting Storage and then Manage Compression. The first step is to select the compression type based on a partition number, or you can choose to use the same compression for all partitions. The compression options include Row, Page, or None, indicating no compression.

    The next step is to click the Calculate button to review the disk cost savings. The cost savings will be displayed in the Requested Compressed Space column based on a partition number. This is displayed in Figure 3.14. The final step includes selecting an output option. It is possible to create a script, run immediately, or schedule the task to commence at a later time.

    Figure 3.14.

    Figure 3.14. Specifying the compression type with the Data Compression Wizard.

    Data Compression with Transact SQL

    For those of you who do not like using a GUI, the following examples outline the default syntax for compressing data with Transact-SQL.

    Creating a Table with Row Compression Enabled CREATE TABLE <Table Name> (<Column 1. int, <Column 2> nvarchar(50) ) WITH (DATA_COMPRESSION = ROW); GO Creating a Table with Page Compression Enabled CREATE TABLE <Table Name> (<Column 1. int, <Column 2> nvarchar(50) ) WITH (DATA_COMPRESSION = PAGE); GO

    The following Transact-SQL syntax illustrates compressing the Sales Order Detail table in the AdventureWorks2012 database by the page compression setting:

    USE [AdventureWorks2012] ALTER TABLE [Sales].[SalesOrderDetail] REBUILD PARTITION = ALL WITH (DATA_COMPRESSION = PAGE )

    You can monitor compression activity with the performance counters Page Compression Attempts/sec and Page Compressed/sec found in the SQL Server Access Methods Object. For example, this Transact-SQL code will query both counters:

    SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name LIKE 'Page Compression%'

    As mentioned earlier, compression is included only in the Enterprise Edition of SQL Server. Compression technologies dramatically cut I/O requests and storage; however, the storage gained is typically at the cost of added CPU activity. Therefore, it is strongly advised that you test before implementing data compression in a production workload scenario. In most transaction processing scenarios, SQL Server has CPU to spare and sorely needs more I/O throughput. However, occasionally the improvement to I/O performance is not big enough to warrant the lost CPU. Test to ensure that performance is not negatively impacted.

    Transact-SQL : Introduction and Overview | real questions and Pass4sure dumps

    T-SQL or Transact-SQL is a proprietary extension to SQL (Sequential Query Language). The extended features includes: Improved performance, increased functionality and enhanced globalization support.

    sql-server-2012 image

    Transact-SQL is Microsoft SQL Server’s implementation of the language. It is largely SQL-92 compliant, so if you’re familiar with another vendor’s flavor of SQL, you’ll probably feel right at home with Transact-SQL. Transact-SQL uses stored procedures to retrieve data or to execute a query on to a database.

    Stored procedures in Transact-SQL

    Stored procedures are executable server-side routines. They give you great power and performance benefits if used wisely. Unlike user-defined functions (UDFs), stored procedures are allowed to have side effects. The reason for this is you cannot have transaction within function, whereas, in a procedure, they are allowed to change data in tables, and even alter object definitions. Stored procedures can be used as a security layer. You can control access to objects by granting execution permissions on stored procedures and not to underlying objects.

    SQL Server 2008 supports different types of stored procedures: User-defined, system, and extended. You can develop user-defined stored procedures with T-SQL or with the CLR.

    The following are some applications that can generate Transact-SQL:

  • General office productivity applications.
  • Applications that use a graphical user interface (GUI) to let users select the tables and columns from which they want to see data..
  • Distributed database systems from which data from SQL Server is replicated to various databases, or distributed queries are executed.
  • Data warehouses in which data is extracted from online transaction processing (OLTP) systems and summarized for decision-support analysis.
  • To explain more fully, programming in Transact-SQL is a blend of several distinct, yet integrated, components. Let us assume you want to build an application and you start with design and analysis of database as you wanted. And that you’ve built your development database using declarative SQL statements or perhaps a visual data modeling tool. You might later want to implement a set of complex business rules on your database tables through triggers coded in Transact-SQL. From there, you might create reports and business processing modules that support the user interface through stored procedures coded in Transact-SQL.

    As mentioned earlier, SQL Server 2008 offers a wide variety of Transact-SQL features that enables developers to create new applications that can store and consume any type of data on any device, and enables all your users to make informed decisions with relevant insights. Here are the key features:

  • Initializing variables
  • Compound assignment operators
  • Enhanced CONVERT function
  • New date and time data types
  • New date and time functions
  • The MERGE statement
  • Grouping sets
  • Table valued parameters
  • Large user-defined types
  • Table value constructor support
  • The HIERARCHYID data type
  • DDL trigger enhancements
  • Large CLR user-defined aggregates
  • Sparse columns
  • Filtered indexes
  • Multi-input CLR user-defined aggregates
  • The ORDER option for CLR table-valued functions
  • Object dependencies
  • Change data capture
  • Collation alignment
  • Deprecation
  • SQL database is a popular subject these days. With the data becoming more complex and huge, technologies like Transact-SQL makes queries more quick and optimized. Understanding and studying these technologies that involve dealing with complex data warehouses and their mining issues is great in its terms. For beginners who have some knowledge about DBMS, these are some new concepts that may help them to craft their approach better.

    If you looking to explore Transact-SQL completely, I recommend you to grab some books and use MSDN for solutions as well.

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