24 Hours of PASS 2016

Sessions

 * Session 01: The Complete Primer to SQL Server Virtualization
 * Session 02: Effective Data Visualization with SQL 2016 - Data Near and Far
 * Session 03: Dr. DMV: How to Use DMVs to Diagnose Performance Problems (10am to 11am Eastern Time)
 * Session 04: “Sneak Peak” Cloud App Development Immersion- Hands on approach to build data-driven Intelligent applications
 * Session 05: From XML to JSON (12pm to 1pm Eastern Time)
 * Session 06: A Closer Look at Distributed Availability Groups
 * Session 07: The Ambiguous Case of Off-Row Storage in In-Memory OLTP
 * Session 08: Understanding and Monitoring Tempdb (3pm to 4pm Eastern Time)
 * Session 09: Using Azure Machine Learning to Predict Consumer Price Index
 * Session 10: Create a Power BI Solution in One Day
 * Session 11: Locking, Blocking, Versions: Concurrency for Maximum Performance
 * Session 12: Enabling Real-time Analytics with CDC and Data Warehouse Automation
 * Session 13: Indexing for Beginners (8pm to 9pm Eastern Time)
 * Session 14: 500-Level Guide to Career Internals
 * Session 15: Securing your Data is Easier Than Ever: Security Investments in SQL Server 2016, Azure SQL Database, and SQL Data Warehouse
 * Session 16: Performance Pitfalls from Code Reuse
 * Session 17: R Language for the SQL Server DBA
 * Session 18: The Synergy of In-Memory Operational Analytics
 * Session 19: MongoDB for the SQL Server Professional
 * Session 20: My Favorite Pie (Chart): Simple Rules for Clear Visualizations
 * Session 21: Optimizing Database Access And Diving Into .Net SqlClient
 * Session 22: Overcoming a Culture of FearOps by Adopting DevOps
 * Session 23: Developing a SQL Server 2016 Master Data Services Solution
 * Session 24: A Crash-Course in Biml

Presentors

 * David Klee presented Session 01: The Complete Primer to SQL Server Virtualization
 * Brian Larson presented Session 02: Effective Data Visualization with SQL 2016 - Data Near and Far
 * Glenn Berry presented Session 03: Dr. DMV: How to Use DMVs to Diagnose Performance Problems
 * Tara Shankar Jana presented Session 04: “Sneak Peak” Cloud App Development Immersion- Hands on approach to build data-driven Intelligent applications
 * Guy Glantser presented Session 05: From XML to JSON
 * Allan Hirt presented Session 06: A Closer Look at Distributed Availability Groups
 * Dmitri Korotkevitch presented Session 07: The Ambiguous Case of Off-Row Storage in In-Memory OLTP
 * Vicky Harp presented Session 08: Understanding and Monitoring Tempdb
 * Patricio Cofre presented Session 09: Using Azure Machine Learning to Predict Consumer Price Index
 * Marco Russo presented Session 10: Create a Power BI Solution in One Day
 * Kalen Delaney presented Session 11: Locking, Blocking, Versions: Concurrency for Maximum Performance
 * Kevin Petrie presented Session 12: Enabling Real-time Analytics with CDC and Data Warehouse Automation
 * Kathi Kellenberger presented Session 13: Indexing for Beginners
 * Brent Ozar presented Session 14: 500-Level Guide to Career Internals
 * Joachim Hammer presented Session 15: Securing your Data is Easier Than Ever: Security Investments in SQL Server 2016, Azure SQL Database, and SQL Data Warehouse
 * Andy Yun presented Session 16: Performance Pitfalls from Code Reuse
 * Eduardo Castro presented Session 17: R Language for the SQL Server DBA
 * Rob Farley presented Session 18: The Synergy of In-Memory Operational Analytics
 * Matan Yungman presented Session 19: MongoDB for the SQL Server Professional
 * Markus Ehrenmueller-Jensen presented Session 20: My Favorite Pie (Chart): Simple Rules for Clear Visualizations
 * Mladen Prajdić presented Session 21: Optimizing Database Access And Diving Into .Net SqlClient
 * Hamish Watson presented Session 22: Overcoming a Culture of FearOps by Adopting DevOps
 * Peter Myers presented Session 23: Developing a SQL Server 2016 Master Data Services Solution
 * Tim Mitchell presented Session 24: A Crash-Course in Biml