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SQL SERVER QUERY EBOOK

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Quick GuideMicrosoft SQL Server Integration Services (SSIS) provides significant improvements A Hitchhiker's Guide to Microsoft StreamInsight Queries. The Microsoft® SQL Server® Notes for Professionals book is compiled from FOR JSON; Queries with JSON data; Storing JSON in SQL tables. The 36 best microsoft sql server ebooks, such as Sql, Learn SQL, SQL Basics, Learn SQL (structure query language) is considered one of the most important .


Sql Server Query Ebook

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Published (Last):06.07.2016
ISBN:726-3-61307-144-7
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A list of 9 new SQL ebooks you should read in , such as SQL, + SQL Queries and SQL For Dummies Book Cover of I.F.S. Harrison - + SQL Queries: T-SQL for Microsoft Learn to script Transact SQL using Microsoft SQL Server. SQL. Return to Databases. On this page you can find our books on SQL and related database technologies including Microsoft SQL Server. Grant Fritchey's book SQL Server Query Performance Tuning is the answer to your Included format: PDF, EPUB; ebooks can be used on all reading devices.

Finally, you might be looking to implement high availability. With this book, I want to introduce you into the vast world of SQL Server Replication and show you its most important strength and weaknesses. After working through the exercises, you will be able to make an informed decision whether replication is the right feature to use and which type of replication is the most advantageous in your situation.

You will also know when to stay away from replication and use other features such as simple log shipping or the new "Always On" feature set. The book begins with a short overview that introduces you to the technologies that make up replication.

In the following chapters, the book will walk you through setting up different replication scenarios. All hands-on exercises are designed with security best practices in mind.

When you're finished working through the exercises, you will be able to implement your own multi-server replication setup while following the principle of least privilege.

The resulting book is a series of chapters on lessons learned, perhaps the hard way, which you won't find in traditional training or technical guidance material. A DBA's core responsibilities are constant. A DBA must have the hard skills necessary to maintain and enforce security mechanisms on the data, prepare effectively for disaster recovery, ensure the performance and availability of all the databases in their care.

Side by side with these, our authors have also recognized the importance of communication skills to the business and their careers.

We have chapters on the importance to a DBA of communicating clearly with their co-workers and business leaders, presenting data as useful information that the business can use to make decisions, and sound project management skills. SQL Server Transaction Log Management When a SQL Server database is operating smoothly and performing well, there is no need to be particularly aware of the transaction log, beyond ensuring that every database has an appropriate backup regime and restore plan in place.

When things go wrong, however, a DBA's reputation depends on a deeper understanding of the transaction log, both what it does, and how it works. An effective response to a crisis requires rapid decisions based on understanding its role in ensuring data integrity. Conversely, storing large object data in the file system has overriding performance advantages, but fails to offer some of the basic data integrity, security and manageability features that are required for business data, and which SQL Server provides.

Up to now, most people have adopted file system storage by necessity, and often struggled to overcome the associated shortcomings. SQL Server Concurrency: Locking, Blocking and Row Versioning If you've designed your SQL code intelligently and implemented a sensible indexing strategy, there's a good chance your queries will "fly", when tested in isolation.

In the real world, however, where multiple processes can access the same data at the same time, SQL Server often has to make one process wait, sacrificing concurrency and performance in order that all processes can succeed without destroying data integrity. SQL Server Backup and Restore The duties and responsibilities of a Database Administrator DBA make for a long and dynamically changing list, ranging from offering query tuning advice, to cutting stored procedures, all the way through to system process design and implementation for high availability.

A DBA's tasks, from day-to-day, are rarely constant; with one exception: the need to ensure each and every day that any database in their charge can be restored and recovered, in the event of error or disaster. This means that if a database, for whatever reason, gets corrupted, dropped, or otherwise becomes unusable, then it is the DBA's responsibility to restore that database to the state it was in before the problem occurred, or as close as is possible.

Of course, this doesn't mean that a DBA is required to restore a database each and every day, just that if disaster does strike the DBA must be prepared to deal with it, regardless of when or why it occurs.

If a DBA isn't prepared, and significant data is lost, or databases become unavailable to end users for long periods of time, then that DBA probably won't be in their job for too long. Capturing backups using SSMS or simple scripts is perfectly fine for one-off backup operations, but any backups that form part of the recovery strategy for any given database must be automated and you'll also want to build in some checks that, for example, alert the responsible DBA immediately if a problem arises.

The focus is on practical solutions for removing root causes of these problems, rather than "papering over the cracks". The booklet takes a practical, and well-informed approach to a subject that is not always easy to explain or understand. A Distribution Statistics object is a sampled map of the distribution of data in a table.

Most of the time, this work happens effectively without the database administrator having to be aware of what is going on, but occasionally, if the statistics no longer reflect what is actually in the table, then queries can suddenly run grindingly slow.

At this point, the DBA must intervene to correct the problem. Holger divides his work into two parts. In the first part, he explains what 'statistics' are, why they are there, how they are created, updated and removed. He shows how to inspect them and to maintain them.

In the second part, he lists all the problems that are related to these statistics objects, and how to solve them. Why, then, aren't all DBAs using them? Why do even those that do use the DMVs speak wistfully about "good old sysprocesses"?

There seem to be two main factors at work.

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Firstly, some DBAs are simply unaware of the depth and breadth of the information that is available from the DMvs, or how it might help them troubleshoot common issues. This book investigates all of the DMVs that are most frequently useful to the DBA in investigating query execution, index usage, session and transaction activity, disk IO, and how SQL Server is using or abusing the operating system. Secondly, the DMVs have a reputation of being difficult to use. In the process of exposing as much useful data as possible, sysprocesses has been de-normalized, and many new views and columns have been added.

This fact, coupled with the initially-baffling choices of what columns will be exposed where, has lead to some DBAs to liken querying DMVs to "collecting mystic spells".

Often, they find that they don't have the knowledge, experience, or critically the time, to perform the correct level of maintenance on their SQL Server databases, much as they might like to. This can mean poor performance and reduced availability. Regardless of the size of your organization, if your mission critical data becomes unavailable, then business will suffer greatly.

He explains how to assess and categorize data elements according to sensitivity, regulate access to the various categories of data using database roles, views and stored procedures, and then how to implement a secure data architecture using features such as cell-level encryption, transparent data encryption, one-way encryption, obfuscation, and more.

The battle to secure personal and business data is a tough one, and the consequences of mishandling sensitive data can be severe. All hands-on exercises are designed with security best practices in mind.

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When you're finished working through the exercises, you will be able to implement your own multi-server replication setup while following the principle of least privilege. The resulting book is a series of chapters on lessons learned, perhaps the hard way, which you won't find in traditional training or technical guidance material.

A DBA's core responsibilities are constant. A DBA must have the hard skills necessary to maintain and enforce security mechanisms on the data, prepare effectively for disaster recovery, ensure the performance and availability of all the databases in their care.

Side by side with these, our authors have also recognized the importance of communication skills to the business and their careers.

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We have chapters on the importance to a DBA of communicating clearly with their co-workers and business leaders, presenting data as useful information that the business can use to make decisions, and sound project management skills. SQL Server Transaction Log Management When a SQL Server database is operating smoothly and performing well, there is no need to be particularly aware of the transaction log, beyond ensuring that every database has an appropriate backup regime and restore plan in place.

When things go wrong, however, a DBA's reputation depends on a deeper understanding of the transaction log, both what it does, and how it works. An effective response to a crisis requires rapid decisions based on understanding its role in ensuring data integrity. Conversely, storing large object data in the file system has overriding performance advantages, but fails to offer some of the basic data integrity, security and manageability features that are required for business data, and which SQL Server provides.

Up to now, most people have adopted file system storage by necessity, and often struggled to overcome the associated shortcomings. SQL Server Concurrency: Locking, Blocking and Row Versioning If you've designed your SQL code intelligently and implemented a sensible indexing strategy, there's a good chance your queries will "fly", when tested in isolation. In the real world, however, where multiple processes can access the same data at the same time, SQL Server often has to make one process wait, sacrificing concurrency and performance in order that all processes can succeed without destroying data integrity.

SQL Server Backup and Restore The duties and responsibilities of a Database Administrator DBA make for a long and dynamically changing list, ranging from offering query tuning advice, to cutting stored procedures, all the way through to system process design and implementation for high availability. A DBA's tasks, from day-to-day, are rarely constant; with one exception: the need to ensure each and every day that any database in their charge can be restored and recovered, in the event of error or disaster.

This means that if a database, for whatever reason, gets corrupted, dropped, or otherwise becomes unusable, then it is the DBA's responsibility to restore that database to the state it was in before the problem occurred, or as close as is possible.

Of course, this doesn't mean that a DBA is required to restore a database each and every day, just that if disaster does strike the DBA must be prepared to deal with it, regardless of when or why it occurs.

If a DBA isn't prepared, and significant data is lost, or databases become unavailable to end users for long periods of time, then that DBA probably won't be in their job for too long. Capturing backups using SSMS or simple scripts is perfectly fine for one-off backup operations, but any backups that form part of the recovery strategy for any given database must be automated and you'll also want to build in some checks that, for example, alert the responsible DBA immediately if a problem arises.

The focus is on practical solutions for removing root causes of these problems, rather than "papering over the cracks". The booklet takes a practical, and well-informed approach to a subject that is not always easy to explain or understand.

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A Distribution Statistics object is a sampled map of the distribution of data in a table. Most of the time, this work happens effectively without the database administrator having to be aware of what is going on, but occasionally, if the statistics no longer reflect what is actually in the table, then queries can suddenly run grindingly slow. At this point, the DBA must intervene to correct the problem.

Holger divides his work into two parts. In the first part, he explains what 'statistics' are, why they are there, how they are created, updated and removed. He shows how to inspect them and to maintain them. In the second part, he lists all the problems that are related to these statistics objects, and how to solve them.

Why, then, aren't all DBAs using them? Why do even those that do use the DMVs speak wistfully about "good old sysprocesses"? There seem to be two main factors at work.

Firstly, some DBAs are simply unaware of the depth and breadth of the information that is available from the DMvs, or how it might help them troubleshoot common issues. This book investigates all of the DMVs that are most frequently useful to the DBA in investigating query execution, index usage, session and transaction activity, disk IO, and how SQL Server is using or abusing the operating system.

Secondly, the DMVs have a reputation of being difficult to use. In the process of exposing as much useful data as possible, sysprocesses has been de-normalized, and many new views and columns have been added. This fact, coupled with the initially-baffling choices of what columns will be exposed where, has lead to some DBAs to liken querying DMVs to "collecting mystic spells".

Often, they find that they don't have the knowledge, experience, or critically the time, to perform the correct level of maintenance on their SQL Server databases, much as they might like to. This can mean poor performance and reduced availability.

Regardless of the size of your organization, if your mission critical data becomes unavailable, then business will suffer greatly. He explains how to assess and categorize data elements according to sensitivity, regulate access to the various categories of data using database roles, views and stored procedures, and then how to implement a secure data architecture using features such as cell-level encryption, transparent data encryption, one-way encryption, obfuscation, and more.

The battle to secure personal and business data is a tough one, and the consequences of mishandling sensitive data can be severe. Even more damaging than the fines and lawsuits that can be result from non-compliance with regulations, is the loss of customer confidence that results when these breaches of security occur. Database Administrators must use every weapon and strategy at his or her disposal in the "war" to protect their sensitive data from would-be hackers, phishers, rumor mongers and identity thieves.

Encryption is one of the primary weapons with which this battle can be won. SQL Server Tacklebox For the day-to-day DBA, there are dangers around every corner; monsters waiting to strike down the unsuspecting database with a resource-hungry query, an inefficient data load, or even outright data corruption.

When the worst happens, and SQL Server is down, or performance is suffering, customers are quick to complain.. During such difficult periods, you, the DBA, are the centre of attention.SQL Server Transaction Log Management When a SQL Server database is operating smoothly and performing well, there is no need to be particularly aware of the transaction log, beyond ensuring that every database has an appropriate backup regime and restore plan in place.

Suppose you have created a table in a case sensitive collation database : Create table Engineers SNo int, EngineerName Varchar 80 , Salary money Observe the capital E in the table name.

Queries not running fast enough? Reference The Data Analysis Expressions DAX language is a library of functions and operators that can be combined to build formulas and expressions. My Certifications. Challenge you in a variety of ways about the different aspects of SQL Server. A better understanding of what the Query Optimizer does behind the scenes can help you to improve the performance of your databases and applications, and this book explains the core concepts behind how the SQL Server Query Optimizer works.

This is not a cover-all title but it can take you from a beginner to a fairly experienced professional if you put in the time. At this point, months or years later, and long after the original developer has left, begins the painstaking process of troubleshooting and fixing the problem.

When you're finished working through the exercises, you will be able to implement your own multi-server replication setup while following the principle of least privilege.