Download Pro SQL Server 2012 Practices by Louis Davidson, Grant Fritchey, Jason Strate, Bradley Ball, PDF

Posted On April 11, 2017 at 6:51 am by / Comments Off on Download Pro SQL Server 2012 Practices by Louis Davidson, Grant Fritchey, Jason Strate, Bradley Ball, PDF

By Louis Davidson, Grant Fritchey, Jason Strate, Bradley Ball, TJay Belt, Glenn Berry, Jes Borland, Carlos Bossy, Ben DeBow, Jonathan Gardner, Jeremy Lowell, Jesper Johansen, Wendy Pastrick, Kellyn Pot'vin, Mladen Prajdic, Herve Roggero, Chris Shaw, Gail Sha

Professional SQL Server 2012 Practices is an anthology of top-end knowledge from a bunch of finished database directors who're quietly yet relentlessly pushing the functionality and have envelope of Microsoft SQL Server 2012. With an emphasis upon performance—but additionally branching into release management, auditing, and different issues—the booklet is helping you carry the main worth to your company’s funding in Microsoft’s flagship database procedure

* is going past the guide to hide solid ideas and top practices
* provides wisdom frequently received purely through demanding event
* Focuses upon functionality, scalability, reliability
* is helping in achieving the predictability had to be on top of things perpetually

What you’ll learn

* Migrate to the hot prolonged occasions framework for troubleshooting functionality difficulties
* Automate the monitoring of key functionality signs equivalent to to be had disk area, cpu usage, index fragmentation, and extra
* layout functionality into your database and its functions from the very starting
* deal with staged releases from improvement to check via to creation
* Diagnose source and function difficulties through dynamic administration perspectives
* study I/O styles and plan reliably to acquire the functionality you wish
<h3>Who this booklet is for</h3>
Pro SQL Server 2012 Practices is aimed toward SQL Server pros who are looking to additional their careers via expert-level practices in functionality administration, scalability, predictability, and defense.
<h3>Table of Contents</h3><ol> * Jesper Johansen. Be Your Developer’s ally
* Louis Davidson. Getting It correct: Designing for Database functionality
* Gail Shaw. Hidden functionality Gotchas
* Kellyn Pot’vin. Dynamic administration perspectives
* Mladen Prajdic. From SQL hint to prolonged occasions
* Chris Shaw. The application Database
* Jason Strate. Indexing  open air the Bubble
* TJay Belt. liberate administration
* Jonathan Gardner. Compliance and Auditing
* Jes Borland. Automating management
* Wendy Pastrick. The Fluid Dynamics of SQL Server information stream
* Herve Roggero. home windows Azure good points for DBAs
* Jeremy Lowell. I/O: The Untold tale
* Bradley Ball. web page and Row Compression
* Glenn Berry. deciding upon and Sizing the Server
* supply Fritchey. Backups and Restores utilizing Availability teams
* Carlos Bossy. huge info for the SQL Server DBA
* Ben DeBow. Tuning for top Load

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If a query is executed that asks for all rows with a value greater than 100 for that column, the optimizer will know without even looking at the data that no rows meet the criteria. Regardless of whether constraints help query performance directly, their part in maintaining data quality is one of the biggest factors in overall system performance. Beyond the topics I covered on normalization and datatypes, consider a database that contains the calendar of speakers for an event. Suppose that the database is perfectly designed but a few speaker assignments are not right.

Like in many cases we have discussed so far, the goal of this rule is to get the design right so that you don’t have to mess around with poorly formatted data. When the keys that you expect to represent a single value actually represent multiple values, your data gets messy and dealing with bad data is the single largest cause of poor performance on many levels. Of course, sometimes the performance issues arise only after you discover that your data is massively messed up and you have layered on tons of hacks to keep it in order.

Note that initially it seems like you have more data because you have more rows and more tables. However, notice the redundancy in the following data from the original design: Louis Chuck Normalization Normalization DB Design & Implementation DB Design & Implementation The redundancy comes from stating twice that the book DB Design & Implementation is used for the Normalization class. The new design conveys that same information with one less row of data. When the system grows to the point of having 50 Normalization classes being taught, you will have much less data, making the storage of data more efficient, possibly creating some performance benefits, and reducing the amount of redundant data that can get out of sync.

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