Extreme Data Recovery

Here's your chance to learn data recovery from the big dogs. Two Microsoft Certified Masters (MCMs) will take your Recovery game to an all new level. Take a deep dive into SQL Server recovery and learn how to handle a wide variety of data loss and corruption scenarios. The session will cover how to be prepared for, prevent, and recover data lost due to deletion or corruption.

Learn the following skills in this session:
  • Built-in functionality in SQL Server for preventing and detecting corruption that you may not even know about
  • How to identify a specific transaction in the transaction log and recover data lost from that transaction
  • Categories of corruption and how to manage recovery differently for each one
Don't come empty handed. Bring your laptops, and we'll practice recovering corrupt databases together.
Presented by Argenis Fernandez at SQLBits XI
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  • SpeakerBIO
    Argenis_Fernandez.jpg

    Argenis Fernandez is a SQL Server MVP and Senior Database Engineer for SurveyMonkey based in Redmond, WA. He has worked with SQL Server for over 15 years and enjoys large SQL Server farms, high-end OLTP databases, managing Windows environments, performance troubleshooting, high availability, disaster recovery, best practices, and PowerShell scripting. Prior to SurveyMonkey, Argenis worked as a Senior Database Administrator for Coinstar/redbox and as a Senior Consultant on SQL Server Core for Microsoft Consulting Services. In 2013 he founded the Security Virtual Chapter for the Professional Association for SQL Server (PASS) (http://security.sqlpass.org) .

    Argenis is a SQL community enthusiast and speaks frequently at major SQL Server conferences, including the PASS Summit, PASS SQL Rally, IT/Dev Connections, SQLBits, and TechEd. He is also a Microsoft Certified Master on SQL Server 2008, an avid Twitter user (you can follow him at @DBArgenis), and occasional blogger on SQL Server topics at SQLBlog.com.

    http://www.sqlblog.com/blogs/argenis_fernandez/ http://sqlblog.com/blogs/argenis_fernandez/rss.aspx
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