Free SQL Server Training!
Join us for the February 2016 meeting of MagicPASS, South Orlando's SQL Server User Group. Food and beverages will be served, plus we've got swag to give away!
This month we welcome SQL Server MVP Bradley Ball to present SQL Internals, Recovery Models, & Backups! OH MY!
After the meeting we'll head to the Celebration Town Tavern for more socializing. (You are responsible for your own drinks)
Make a difference in someone's career: Invite them to attend the meeting with you! (Heck, invite them to attend even if you can't make it)
SQL Internals, Recovery Models, & Backups! OH MY!
Speaker: Bradley Ball
Summary: The more you know about SQL Server the more you understand how it works. SQL Server is a product we use every day, and most of us know the big concepts. At the 10,000 foot view we know what Databases, Tables, and Columns are. But what makes up those Databases, Tables, and Columns. What are Records, Pages, Extents, and Allocation Units? What are Full, Simple, and Bulk-Logged Recovery? What are the differences between Full, Transaction Log, Differential, or Filegroup backups? What is a Piecemeal Restore? This is an introduction to these concepts using SQL Server. In this session you will learn about the internal Structure, Recovery Models, and Backups and be better prepared to for Future Learning and Managing SQL!
About Bradley: Bradley Ball is a MCITP 2005 & 2008 DBA with over 13 years of experience. Bradley spent 8 years working as a Defense contractor for clients such as the U.S. Army, The Executive Office Of the President of the United States, & Publix Supermarkets. He is the Data Platform Management Lead for Pragmatic Works and a Microsoft VTSP. He has presented at many SQLSaturdays, for PASS SSUG's, SQLRally, DevConnections, SQL Live 360, & the PASS Summit 2011, 2012, 2013. He Blogs at http://www.sqlballs.com.
Building Business Recommenders with Microsoft AzureML (Video Replay)
Speaker: Prof. Giuseppe Mascarella
Summary: Netflix knows if you are going to like a movie before you watch it, so do many other leading companies in what they sell. How do you build capabilities like this for your business? A cost effective way is by using a Matchbox (Large Scale Bayesian) Recommendations algorithm in Microsoft Azure Machine Learning. This video replay from the PASS Business Analyics Virtual Chapter February 2016 meeting will go step-by-step in what is required to build one for any opportunity you might have.