SQL Server Security Distilled, Second Edition
This book takes an in-depth look at what you can do to secure data in SQL Server, shows how to authenticate access to data on the server, and authorizes what users can and can't do with that data, in versions 6.5, 7.0, and 2000.
SQL Server is the dominant relational database in the Windows market and data security is a huge and growing concern for all businesses. Securing SQL Server is one of the most important responsibilities of the SQL Server professional.
SQL Server Distilled, Second Edition is a very carefully researched, clearly explained book on securing SQL Server, by an author who knows SQL Server inside and out. If you follow the practical guidelines that are clearly set out in this book, then you stand a very good chance of making sure that the data stored in your database is secure and that the conversation between your applications and the database is secure (preventing SQL injection attacks, etc.).
This second edition will have more practical advice on how to implement good practices that will ward off future viruses before they are even created. This book will contain new content that reflects all updates to SQL Server's security mechanisms.
password: books_for_all
http://rapidshare.com/files/24614971/BBA67B7C-858A-4460-A9F0-5213FAF9A5EB.rar.htm
[Fast Download] SQL Server Security Distilled, Second Edition
Hands-On Deep Learning for Images with TensorFlow
Power BI Data Analysis and Visualization
Effective SQL: 61 Specific Ways to Write Better SQL
Agile Query-Driven Data Modeling for NoSQL
Databases: Executive Briefing
The Node.js Handbook
Microsoft SQL Server 2008 Bible
Human Interaction with Graphs
Beginning Oracle Application Express 4
Bridging Between Information Retrieval and Databases
MCITP SQL Server 2005 Database Developer All-in-One Exam Guide by Darril Gibson
Professional SQL Server 2012 Internals and Troubleshooting
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Python GUI Programming with Tkinter: Devel(2627)
Web Scraping with Python: Collecting More (2537)
Big Data Architect's Handbook: A guide to (2489)
Web Coding & Development All-in-One For Du(2432)
Machine Learning with Python Cookbook : Pr(2291)
Data Science for Dummies, 2nd Edition(2177)
Statistical Data Science(2171)
Python Programming Blueprints: Build nine (2140)
Building Machine Learning Systems with Pyt(2118)
Data Analytics: Concepts, Techniques, and (1989)
HBR Guide to Data Analytics Basics for Man(1982)
Seven Databases in Seven Weeks: A Guide to(1956)
Hands-On Data Science and Python Machine L(1946)
A General Introduction to Data Analytics(1887)
