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SQLSaturday Pittsburgh #907

Oct 5, 2019 · Pittsburgh Technical College, Oakdale, PA, United States

Conference
SQLSaturday Database
Dates
Oct 5, 2019
Venue
Pittsburgh Technical College
Place
Oakdale, PA, United States
Format
In person
Status
Past
Attendance
—
Organizer's attendee estimate in the PASS event XML feed: 250 (pre-event estimate, not a headcount).
Website
sqlsaturday.com
Recorded
11 sponsors · 50 speaker appearances
Notes
Official name: SQLSaturday #907 - Pittsburgh 2019. Run under PASS. Sessions, speakers and sponsors from the PASS event XML feed (Wayback snapshot); 50 sessions. Affiliation extracted from each speaker's bio in the feed where it names a current employer, else null.

Ticket prices

TicketPriceValid untilNotesSource
Pre-con$125—Event home page: 'Cost: $125'web.archive.org

Sponsors 11

Platinum 1

Gold 4

Silver 3

Bronze 1

Community 1

Other 1

Speakers and talks 50

SpeakerCompanyRoleTalkLinks
Allen White——Scalable Application Design with Service Broker—
Allen White——Emergency! Are You Ready for Disaster to Strike?—
Ameena LalaniMicrosoft—SQL Server 2019 - New Features and Enhancements—
Andy LeonardEnterprise Data & Analytics—Faster SSIS—
Andy LeonardEnterprise Data & Analytics—Moving Data with Azure Data Factory—
Andy Mallon——How to get your Dream Job: Resume job hunting tips—
Andy Mallon——When to use Indexing ProTools—
Angela Tidwell——Data Collection and Usage: Illegal or Unethical?—
Angela Tidwell——Become the Most Valuable Player: Soft Skills for the Hard Market—
Dave BlandStericycle—How to use Execution Plans to find Performance Issues—
Dave BlandStericycle—How to do a Complete SQL Server Assessment—
Dave BlandStericycle—An Introduction to Azure Data Studio—
Diane SchusterCOZYROC—CozyRoc: Dynamic Data Flows in SSIS Without Programming—
Ed Wagner——DBA - What's Most Important—
Eugene Meidinger——Drinking From the Firehose: a Guide to Keeping Up with Technology—
Eugene Meidinger——Introduction to M (a.k.a Power Query)—
George WoodsMicrosoft—Power BI - A guide to each product and licensing—
James Loesch——Opening SQL Window Functions—
Janis GriffinQuest—Inside the Query Store. What Knowledge can You Gain?—
Jeff Moden——“Black Arts” Index Maintenance #2: Better Methods that Can Actually Prevent Fragmentation for Weeks.—
Jeff Moden——“Black Arts” Index Maintenance #1: How the “Best Practice” Methods are Silently Killing Performance—
Jess PomfretWestfield Group—Life Hacks: dbatools edition—
Jess PomfretWestfield Group—Install Configure SQL Server with PowerShell DSC—
Jim DonahoeMicrosoft—Getting started with Azure SQL Database: What You Need To Know!—
Katie NovotnyDDI—Azure Databricks: A Beginner's Journey—
Marsha PiercePure Storage—Virtualizing SQL - An overview of what you need to do to virtual—
Matt NelsonRDX—Profisee - Lunchtime chat—
Matt NelsonRDX—Quest - Lunchtime chat—
Matt NelsonRDX—Pure Storage lunchtime chat—
Matt NelsonRDX—Snowflake - Lunchtime chat—
Mike Burek——Columnstore Indexes for Everyone—
Pat PhelanInvolta—Ethics, Morals, and Laws for the DBA 101—
Paul StantonWindocks—SQL DevOps Simplified with Production Databases—
Peter Shore——Hello My Friends, Welcome to CosmosDB—
Peter Shore——Infrastructure for the DBA: An Introduction—
Peter Shore——Learn Like Your Life Depends On It—
Ravi KumarMicrosoft—Power BI Suite: What services make up Power BI?—
Ravi KumarMicrosoft—Azure Analysis Service or SSAS Tabular: How they work—
Rayis Imayev——Using Azure Data Factory Mapping Data Flows to load Data Vault—
Rick HeigesMicrosoft—Azure SQL DB Managed Instance: Today—
Russel Loski——Managing ETL Change Using BIMLScript—
Sam NasrNIS Technologies—Data Time Travel with SQL Server Temporal Tables—
Slava Murygin——Power BI: From Zero to 101—
Slava Murygin——What treasures are hidden in the Plan Cache?—
Stephanie BrunoElizabeth Glaser Pediatric AIDS Foundation—Avoiding angry calls: Power BI model optimization—
Thomas NormanKPA—Encrypting Data within SQL Server—
Tracy BoggianoDocuSign—Using Open Source Software to Collect Performance Metrics—
Tyler Graham——Dimension Management for Power BI—
Vladimir Oselsky——Performance Tuning for SQL Developer through Execution Plans—
William WolfRDX—Stop Doing That! Common T-SQL Anti-Patterns—

Sources