Data SQL Saturday OC has been delivering on-prem events since 2011. This year's event is scheduled for May 3, 2025. If you will be in the area at that time, we welcome your submission.

We try and provide our attendees with 3 to 5 different tracks over 5-6 blocks (18-30 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 an in-person community event run by a non-profit.

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

Content Moderation

Our Content Moderation Team will contact you if your slide deck does not line up with the session title and abstract. We will ask you to change them. They should match what you’re teaching. Don’t feel bad about the change, think of us as your session co-pilot!

Speaker Interview

One of our team members will reach out to you to schedule a video interview that we can use for event marketing purposes.

We will be asking the following questions:

• Introduce yourself
• Is this your first SQL Saturday event?
• Why present?
• Why attend?
• Your session

Here is an example of such a video - https://www.youtube.com/watch?v=zxHWXZu-zL0

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