1. PASS Community News May 2016

2. 24 Hours of PASS May 25! PASS Elections
Each year, elections are held for seats that are due to open on the PASS Board of Directors.
In 2016, the global PASS membership will vote on three seats, two of which are regional: US/Canada & LATAM. The third seat is an Open seat with no regional restrictions.
The elections are critical to ensuring that PASS members have a voice in the leadership and direction of PASS.
Voting eligibility
All PASS members must have a completed MyPASS profile by June 1, to be eligible.
Voting is completely private and anonymous.
What next?
Elections will take place in September.
We will provide more information on critical dates throughout the year as the election campaign and voting process progresses.

3. Upcoming SQLSaturdays
North America
International
Apr 30 Baltimore
May 7 Jacksonville
May 14 Rochester
May 14 Houston
May 21 Atlanta
June 4 Maine
July 30 Albany
Aug 13 San Antonio
Nov 19 Lincoln
Apr 23 Costa Rica
May 21 El Salvador
May 21 Kyiv
May 28 Plovdiv
May 28 Brisbane
June 4 Bratislava
June 4 Krasnodar
Visit to register for an event near you!

4. Arizona SQL Server Users Group
Stay Involved!
Sign up for a free membership today at sqlpass.org
Linked In:
Facebook:
Twitter: @SQLPASS
PASS:
Arizona SQL Server Users Group
Linked In: Group name Arizona SQL Server Users Group (AZSSUG)
Twitter: @AZSSUGSQLPASS
PASS:
Meetup:

5. DataSets, making the perfect DataSet efficient in SQL Server 2016!

6. What is the data set used for? What are you choices?
Straight up Query
Inline SQL the returns columns and results to a grid, text and/or flat file.
Use all T-SQL syntax. Gets clunky and hard to read.
You could over complicate
Table Variable
Awesome way to pass datasets through stored procedures.
Great way to handle small datasets without using tempdb.
CTE’s (Common Table Expression)
A way to manipulate data multiple times in one query
Used for recursion and you can control recursion
Temp Tables(Global vs Local)
Great way to change a dataset before consumption
Great for large datasets you can create indexes which makes it more efficient.

7. Data Set workarounds and examples
Get latest record without using group by
Use Row and Rank to get the latest
Finding a record that fits from a separate data set
A Using Lead or Lag to get the before and after record
Removal of Duplicates
To remove duplicates without doing anything!

8. Rank and Row_Number – get latest record

9. Record between two Data Sets

10. Removing Duplicates: your options

11. In - Memory Anything and Everything?
Column store indexes on Temp Tables.
Memory Optimized Tables
2014 feature allows you to specify a table a Memory Optimized
Memory Optimized Variables and Temp Tables
All 2016 feature allows for table variables to be memory Optimized
Examples
Adventure works 2016 CTP3 Download

12. Questions Comments References Microsoft white pages
436f-9c13-dde7cf5c2202
Sqlbadpractices.com
large-table-vs-temporary-table/
Examples
Adventureworks 2016 CTP3 Download