The PASS Data Architecture Virtual Group focuses on data architecture concerns as they impact users, developers and DBAs on the Microsoft SQL Server platform.

News and Updates

Call for Speakers and Volunteers

We are looking for presenters for the Data Architecture Virtual Chapter. Whether you have 10 minutes worth to discuss on a specific insight, or a raft of full-length decks ready to roll, we want to hear from you.

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Diving Deeper into Database Hardware


by Glenn Berry


Wednesday, April 12, 2017 1 PM CDT




Principal Consultant

Glenn is a Microsoft SQL Server MVP. He has worked as a SQL Server professional for many years in a variety of roles, including stints with NewsGator and Avalara. His expertise includes DMVs, high availability, hardware selection and configuration, and performance tuning. He is also an Adjunct Faculty member at University College – University of Denver, where has been teaching since 2000. Glenn is heavily involved in the SQL Server community, and is a frequent speaker at user groups, SQL Saturdays, SQLintersection, and the PASS Community Summit. He is the author of the book SQL Server Hardware, and he wrote chapters for SQL Server MVP Deep Dives and SQL Server MVP Deep Dives Volume 2 books.


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MVPsince 2007



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Nutanix will host May Meeting


Incremental Load Design Patterns

By Tim Mitchell

June 14, 2017 at 1 Pm CDT

Incremental Load Design Patterns


When building extraction, transformation, and load (ETL) processes, one of the most common requirements is to process only new or changed data. This incremental load design significantly improves the performance of the ETL process by dealing only with a subset of the data during each load.

Choosing the correct change detection mechanism for each incremental load process is critical. From change data capture to change tracking in SQL Server, to the slowly changing dimension wizard and other native tools in SSIS, there are many ways to detect and process incremental changes.

In this session, we will review the common decision points surrounding incrementally loading data, and will walk through methods for incremental processing in SQL Server. Among the topics of discussion:

n “Why not just do a full load?”

n A survey of the various methods of change detection in SQL Server

n Common incremental load design patterns for sources and destinations

n Performance considerations for large incremental loads

This session is ideal for those with some experience performing ETL operations in SQL Server and SSIS, but can be useful as an overview for others who want to gain a general understanding of incremental load patterns.


Tim Mitchell, Microsoft Data Platform MVP

Principal Data Architect, Tyleris Data Solutions


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Bryan Cafferky

R Intro and basic predictive model creation


July 12, 2017, 1 PM CDT

About Bryan Cafferky...


Bryan is a 2016 MVP award winner and author of Pro PowerShell for Database Developers by Apress. He is an independent Business Intelligence/Data Science consultant with decades of experience in information technology focused on the Microsoft stack. Bryan has spoken on a number of subjects at various PASS chapters, Code Camps, and SQL Saturdays. He has worked in banking, insurance, Internet/Ecommerce, utilities, and health care. Bryan holds an undergraduate degree in Computer Information Systems from Bryant University and a Masters in Business Administration from Bentley University.

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Optimizing Stored Procedures

by Kimberly L. Tripp

Nov 8, 2017, 1 PM CDT



Kimberly’s an author, consultant, and top-rated speaker having spoken at PASS, TechEd, SQLintersection, and numerous other events around the world; she’s also been a Microsoft SQL Server MVP for over 10 years. She has over 25 years of experience designing and tuning SQL Server solutions with a focus on optimizing procedural code, indexing strategies, statistics, and partitioning. When she's not tuning SQL servers, she's diving and photographing all sorts of underwater critters such as frogfish with her husband, Paul S. Randal.



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SQL Server MVP since 2002


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Nutanix is now the Data Architecture Virtual Chapter sponsor.


Data Architecture underpins just about everything we do in IT. Without a clear understanding of how data is structured, there is no reliable way to derive meaning from it. Data Architecture drives the design and governance of data systems, and thus should be of interest to any data professional. Data Architecture provides the blue-prints that we all share, whether we be DBAs, data integration developers, database developers, data warehousing professionals, data presentation developers or client-side application developers persisting data for later retrieval.



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