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Conferences / SQLSaturday

SQLSaturday Los Angeles #891

Jun 15, 2019 · Loyola Marymount University ("LMU"), Los Angeles, CA, United States

Conference
SQLSaturday Database
Dates
Jun 15, 2019
Venue
Loyola Marymount University ("LMU")
Place
Los Angeles, CA, United States
Format
In person
Status
Past
Attendance
—
Organizer's attendee estimate in the PASS event XML feed: 400 (pre-event estimate, not a headcount).
Website
sqlsaturday.com
Recorded
38 sponsors · 66 speaker appearances
Notes
Official name: SQLSaturday #891 - Los Angeles 2019. Run under PASS. Sessions, speakers and sponsors from the PASS event XML feed (Wayback snapshot); 66 sessions. Affiliation extracted from each speaker's bio in the feed where it names a current employer, else null.

Ticket prices

TicketPriceValid untilNotesSource
Lunch$0—Event home page: 'There will be FREE pizza and beverages provided for lunch'web.archive.org

Sponsors 38

Platinum 1

Gold 6

Silver 6

Bronze 3

Community 1

Other 21

Speakers and talks 66

SpeakerCompanyRoleTalkLinks
Ami LevinO'Reilly—Big Data - The Biggest Fad of the Decade—
Ami LevinO'Reilly—Where did I put my (primary) keys?—
Amod Singhal——SQL Query Foundations—
Andrew Karcher——Getting Started with Azure Databricks Delta—
Andrew Karcher——Add some Spark to your Data Processing Pipeline—
Armando Lacerda——CosmosDB - Understanding the main factors for successfull deployment—
Armando Lacerda——DBA vNext—
Armando Lacerda——Power BI Dataset Tuning—
Arthur GimpelElastic—Make sense of real-time data using Elasticsearch—
Ben Oastler——How to screw up a Power BI implementation—
Benjamin Nevarez——Dive into the Query Optimizer - Undocumented Insight—
Brett PowellFrontline Analytics, LLC—Power BI Administration Solutions—
Brodie Brickey——SSIS Basics—
Brodie Brickey——Getting Data out of Active Directory with SQL Server—
Charles Embry JrChoice Medical group—The Mobile DBA, using Docker and Azure Data Studio to work on the go!—
Charles Embry JrChoice Medical group—Imposter Syndrome How to work through it—
Christopher Dobler——ElasticSearch - A look at the ELK stack and visualizing data with Canvas—
David Lundell——Open Source vs SQL Database Maintenance Plans—
David Lundell——How to Be an MVP (in Life and a Microsoft MVP)—
DeNisha Malone——Power BI Free vs. Pro vs. Premium - Understanding What Works for You!—
DeNisha Malone——Tell a Story with Data in Power BI—
Elaena Bakman——SSRS - Thinking Outside the Report—
Eric BlinnSquire Patton Boggs—I have indexes, but do I have the right indexes?—
Eric BlinnSquire Patton Boggs—Encryption: Not just for the NSA anymore—
Igal Sapir——Migrate Your Database to PostgreSQL—
Jay Falck——Setting up a test lab with Hyper-V—
Jeff BertmanDfuse Technologies—Maximizing Big Data ROI via Best of Breed Technology Patterns Practices—
Jeff IannucciDriveTime—It's Not Your Fault, It's the SQL Server Default—
Jeff IannucciDriveTime—SELECT Start FROM Here: Querying for T-SQL Beginners—
Jeff PromBridgepoint Education—Mastering Master Data Services—
John WellsLamar Advertising—Fundamentals That Will Improve Your Query Performance!—
John WellsLamar Advertising—Simplify your Daily Tasks with DBATools!—
JP Chen——SQL on Linux—
Kevin FeaselEnvizage—Applying Forensic Accounting Techniques Using SQL and R—
Kevin FeaselEnvizage—SQL Server Machine Learning Services in Production—
Kevin Mackey——Service Broker for near-real time message processing—
Kevin Mackey——Don't just code it—Generate It—
Liz Amador——Designing Accessible Power BI Reports—
Liz Amador——What you need to know to be Power BI Certified—
Mark Mucchetti——Google Cloud Platform: Introduction—
Michelle Gutzait——Azure Database, Azure Virtual Machine or Azure Managed Instance? Why, when, what?—
Mike Burek——Columnstore Indexes for Everyone—
Mike Burek——Why is Python in SQL Server?—
Mohamed Mawla——From Zero to Hero: Start Machine Learning using Azure ML studio—
Nuri Halperin——Introduction to MongoDB—
Patrick Partin——What just happened? Creating your own real-time dashboard with Grafana, Influx, and Telegraf—
Paul StantonWindocks—SQL DevOps Simplified with Production Databases—
Phil Robinson——Data Preparation with Power BI Desktop M – Strategy, Tactics and Tips—
Phillip Seamark——The Art of Data Modelling with Analysis Services—
Phillip Seamark——Wacky DAX—
Satish JayanthiWhereScape—Doing Much More With Much Less: The Case for Data Warehouse Automation—
Sepand GojginiDatateam Services—Columnstore Index Primer—
Simon ChoNowcom Corp—[StepByStep] SQL Server on Container? What is Kubernetes?—
Soumya Banerjee——A dive into Dimensional Modeling—
SQL Saturday in LA——Women in Technology (multiple speakers)—
SQL Saturday in LA——Virtualizing SQL Server on vSphere. Doing it Right!—
SQL Saturday in LA——Metadata Management and Data Governance in the World of CCPA—
SQL Saturday in LA——Address the Elephant in Your Business—
SQL Saturday in LA——Dynamic data flows in SSIS without programming—
Stacey Broadwell——Job Seeker BootCamp: Resumes, Interviews Salary Negotiation—
Steve Rezhener——Dynamic data flows in SSIS without programming—
Suresh Datla——Top features of Power BI you should know—
Ted Stathakis——Reporting Services Introduction—
Ted Stathakis——Reporting Services: A Smart Migration Strategy—
Vlad VlasceanuAmazon Web Services—Why Cloud Databases like Amazon Aurora are more Scalable and Reliable—
Vlad VlasceanuAmazon Web Services—Running SQL Server on AWS—

Sources