Conferences / SQLSaturday
SQLSaturday South Florida #1080
Jun 29, 2024 · Nova Southeastern University, Alvin Sherman Library, Davie, FL, United States
- Conference
- SQLSaturday Database
- Dates
- Jun 29, 2024
- Venue
- Nova Southeastern University, Alvin Sherman Library
- Place
- Davie, FL, United States
- Format
- In person
- Status
- Past
- Attendance
- —Sponsor pitch: 'connect with over 300 attendees'; capacity listed as 800. No actual count found.
- Website
- sqlsaturday.com
- Recorded
- 7 sponsors · 44 speaker appearances
- Notes
- Official name: SQL Saturday South Florida 2024. Sessions and speakers from the event's Sessionize schedule (42 sessions, including any pre-con/workshop sessions listed there); affiliation taken from each speaker's Sessionize tagline where it names an organization, else null. Sponsors and tiers from the event page (logos only; names inferred from logo link/file).
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| General admission | $0 | — | Event page describes the event as free. | sqlsaturday.com |
| Lunch (optional) | $15 | — | Listed lunch cost: $15 (optional) | sqlsaturday.com |
Sponsors 7
Other 2
Unspecified tier 5
Speakers and talks 44
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Aditya Guthey | WhoWeAreSe | — | Future Proofing in the Era of ChatGPT | — |
| Alex Merced | Dremio | — | Building a Data Lakehouse with Dremio, DBT, and Apache Iceberg | — |
| Alex Merced | Dremio | — | Open Source and the Data Lakehouse | — |
| Alex Merced | Dremio | — | Lakehouse Solutions to Data Problems: Use cases Dremio, Iceberg, Nessie and Lakehouse Architecture | — |
| Andres Marquez | UnitedHealth Group | — | Navigating Modern Data Architectures | — |
| Barkha Herman | — | — | Indexing 101: How to find your data in monoliths, documents, lakes and more. | — |
| Barkha Herman | — | — | Creating a Personal Brand for Career Success | — |
| Bill Sanscrainte | Practice Computing Management, Inc | — | Index Performance Tuning Using Pain Reduction | — |
| Bogdan Tesileanu | Flagship AI | — | Skip GridSearch - Go Straight to Bayesian Optimization For Your Hyperparameter Tuning | — |
| Bogdan Tesileanu | Flagship AI | — | Using DARTS to hit your forecasting mark | — |
| Bradley Schacht | Microsoft | — | Microsoft Fabric: Data Warehouse vs. Lakehouse | — |
| Bradley Schacht | Microsoft | — | Building a Data Warehouse on Microsoft Fabric | — |
| Bradley Schacht | Microsoft | — | From PaaS to Fabric: Unleashing Instant Analytics! | — |
| Cecilia Brusatori | Magna Data | — | Dimensional Data Modeling 101 | — |
| Daniel Taylor | Microsoft | — | Be a Better DBA with Database Watcher: A Proactive Approach to Database Monitoring | — |
| Daniel Taylor | Microsoft | — | From PaaS to Fabric: Unleashing Instant Analytics! | — |
| Daniel Taylor | Microsoft | — | You Want To PaaS Up Your Database(Revised), Migrating To Azure SQL | — |
| Darius Liktorius | PwC | — | Fabric & Azure Data Factory Revealed | — |
| Darius Liktorius | PwC | — | SQL in the Cloud | — |
| David Seis | — | — | Intro to PowerShell Automation for the SQL Server DBA | — |
| Doug Leal | CGI | — | How to get started with MLOps in Azure Databricks | — |
| Erin Dempster | Trean Corporation | — | Migrating DBA Network Skills to the Cloud | — |
| Erin Dempster | Trean Corporation | — | Automate Database Deployments with Azure DevOps | — |
| Hiram Fleitas | — | — | Fabric Real-Time Intelligence - End2End | — |
| Hiram Fleitas | — | — | 1000s of Trucks a Day in Microsoft Fabric | — |
| Jared Kirkpatrick | MMIBC | — | Visualization Magic, getting down and dirty with Scatter Charts | — |
| Jared Kirkpatrick | MMIBC | — | AD SQL Logins unrolled leveraging PowerShell | — |
| Jared Kirkpatrick | MMIBC | — | T-SQL Tips, Tricks, Hacks, and Backdoors - the undocumented goodies | — |
| Joshua Higginbotham | — | — | Maximizing Data Performance: Unlocking the Power of Delta Tables | — |
| Joshua Higginbotham | — | — | Modernizing ETL: Leveraging Azure Databricks for Enhanced Data Integration | — |
| Juan Fernando Gonzalez | Microsoft | — | Power BI Copilot: The Next Generation of Data Analytics | — |
| Kate Boss | MMIBC | — | Visualization Magic, getting down and dirty with Scatter Charts | — |
| Kevin Feasel | Catallaxy Services, LLC | — | Delivering a Great Demo | — |
| Kevin Feasel | Catallaxy Services, LLC | — | Build a Data Application with Streamlit | — |
| Kevin Feasel | Catallaxy Services, LLC | — | Practical MLOps with GitHub and Azure ML | — |
| Maximo Trinidad | — | — | Working with SSIS SQL "Script Task" Automation Integration | — |
| Oscar Garcia | — | — | Streamlining Data Flow: Building Cloud-Based Data Pipelines | — |
| Oscar Garcia | — | — | Generative AI: Leveraging LLM Models for Code Creation Based on GitHub User Stories | — |
| Reneida Leon | — | — | Data to Action: Crafting Results-Oriented User Journeys through Analytics Dashboards | — |
| Steve Jones | — | — | Blogging for the Tech Professional | — |
| Steve Jones | — | — | Architecting Zero Downtime Database Deployments | — |
| Susan Vanderford | — | — | Data Governance Using Microsoft Purview | — |
| Susan Vanderford | — | — | Determining the correct database type for your project | — |
| Victor Ivantsov | — | — | Exceptions, Transactions, Temp tables and Regression | — |