Call for Speakers

in 12 days

2025 SQL Saturday Orange County (SQLSatOC)

event date

3 May 2025

location

Quest Sofware, 20 Enterprise, Aliso Viejo, CA 92656 Irvine, California, United States


SQL Saturday OC is back!!

Data.SQL.Saturday.OC is a free training event for Microsoft Data Platform professionals and those wanting to learn about Public/Private Clouds, Data Platforms, SQL and No-SQL Databases, Business Intelligence, and Analytics.

Location:

Quest Sofware

20 Enterprise, Aliso Viejo, CA 92656

This is an in-person event!

Stay home if you are feeling sick!

https://sqlsaturday.com/oc 

Previous Events:

2024 SQL Saturday Orange County

https://sqlsaturday.com/2024-04-27-sqlsaturday1078/ 

2019 SQL Saturday Orange County

https://sqlsaturday.com/2019-04-13-SQLSat-0847/ 

2018 SQL Saturday Orange County

https://sqlsaturday.com/2018-04-14-SQLSat-0740/ 

2017 SQL Saturday Orange County

https://sqlsaturday.com/2017-04-01-SQLSat-0611/ 

This event is organized by a Data Driven Technologies, Inc 501.c.3 non-profit.

https://datadriventechnologies.org/sqlsaturday-in-losangeles/ 

open, 22 hours left
Call for Speakers
Call opens at 12:00 AM

27 Feb 2025

Call closes at 11:51 PM

21 Apr 2025

Call closes in Pacific Daylight Time (UTC-07:00) timezone.
Closing time in your timezone () is .

Data SQL Saturday OC has been delivering on-prem events since 2011. This year's event is scheduled for April 26, 2025. If you will be in the area at that time, we welcome your submission.

We try and provide our attendees with 4 to 5 different tracks over 5-6 blocks (24-30 sessions per annual event). This provides valuable content for a wide variety of attendees whether you're a DBA, Dev Op, Developer, Reporting enthusiast, or Cloudy we should have something good for you to attend.

Length: 60 minutes

Topics: Any data-related or non-technical topic

Accommodations / Lodging: None. This is a community event.

Session Info: Write a full description of what this session will be, what the audience will learn, and what pre-requisites are expected

Max No. of Sessions per Speaker: 5 submissions max

Difficulty level: Not everyone is an IT pro, and not everyone is a novice, we are looking for a wide range to appeal to all of our attendees. If you are submitting more than 1 session, please provide sessions at different levels.

Examples of data topics:

RDBMS/SQL: SQL Server, Postgres, MySQL, Oracle Database, MariaDB, CockroachDB, Snowflake, IBM DB2, and other products

NoSQL: CosmosDB, DynamoDB, MongoDB, Cassandra, ElasticSearch, Couchbase, and other products

Data Visualization: Power BI / Tableau / Qlik / SSRS / Crystal Reports and other products

Infrastructure: DBA/DevOps, Private, Hybrid, and Public Clouds: VMware, Microsoft Azure / Amazon AWS / Google GCP / Oracle Cloud, IBM SoftLayer, and other products

Development: Business Intelligence, Data Warehouse, Database Development, Data Engineering, Integration

Data Science: Python/R, Machine Learning, Artificial Intelligence, Deep Learning

Examples of Non-technical:

Women in Tech, Personal Branding, Job Hunting, Building your Own Tech Company, Mental Health, Careers in Tech, Project Management


all submitted sessions

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33 submissions
Submitted sessions
Ike Ellis
  • Introduction to Azure Databricks and Apache Spark for the absolute beginner
  • How to succeed as a Power BI consultant
Lokesh kumar Madabathula
  • Mastering Data Orchestration with Azure Data Factory: Streamlining Ops & Boosting Scalability
Samson Truong
  • Optimizing Power BI Workloads for Fabric Capacities
Dustin Vannoy
  • dbt + Databricks: SQL based ELT
Armando Lacerda
  • SQL Server 2025: an enterprise AI-ready database platform
Sujeeth Venkata Rama Manchikanti
  • Transforming Test Automation: The Universal Automation Framework for the Future of Software Testing
Venkata Krishna Ramesh Kumar Koppireddy
  • AI-Powered Cybersecurity: A Strategic Framework for Automated Threat Management & Protection
Janis Griffin
  • Development Challenges in Today’s Database Environment
Srikar Kompella
  • Database Evolution: Migrating from Monolithic SQL to Serverless Data Architecture on AWS
Zdravko Danev
  • Simplify your SQL with the new BigQuery pipe syntax
show all submissions
Rony Chatterjee
  • AI Querying on Databases
Sasidhar Reddy Somula
  • Harnessing Advanced Machine Learning to Enhance MCCA Reimbursement Protection & Fight Fraud
Hasan Savran
  • Performance tuning for Azure Cosmos DB
  • Data modeling strategies in NoSQL databases
  • SQL Server vs Azure Cosmos DB
  • How much SQL do you need to know as developer?
Vijayakumar Jayaseelan
  • Harnessing Generative AI to Optimize Hybrid Cloud Workloads: A New Era in Enterprise Infrastructure
Sharath Chandra Adupa
  • Safeguarding PII in Cloud Environments: Advanced Security Tactics and Best Practices
Camilo Leon
  • Better Together: Amazon SageMaker Lakehouse and RDS SQL Server, a Gen AI data integration use case
Matt Stephenson
  • Observing and Deploying Trino on Kubernetes with Pulumi
Andrew Madson
  • Data-Centric AI: Accelerate Success with Apache Iceberg Data Products
  • Data-Centric AI: Accelerate AI Workflows with Data Products
Eric Dycus
  • Using pipelines to get access to SaaS data with Rest APIs.
Atcha Abe
  • ABC is for kids, SQL is for you
Alan Ferrandiz
  • Visual Symphony: Crafting Elegant Visualizations with R and Power BI
  • Microsoft Fabric: Data analytics for the era of AI
  • Data-Driven Decision Excellence: Integrating Decision Analysis and Data Analytics in Business Cases
  • Unified DataOps: Integrating Power BI, Azure DevOps, and Git for Advanced Analytics Workflows
  • Navigating Azure’s SQL Landscape: Choosing the Right Database for Your Needs
Andreas Wolter
  • Learnings from the latest breaches: Approaching security for SQL Server and Azure SQL strategically
  • Practical Insights on SQL Server Consolidation and Migration
  • Quickstart into Performance Monitoring & Troubleshooting for SQL databases in Azure and Fabric