Call for Speakers

in 127 days

2023 Data.SQL.Saturday.LA

event date

10 Jun 2023


1 LMU Dr., Los Angeles, CA 90045 Los Angeles, California, United States

Data.SQL.Saturday.LA 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. 

Stay home if you are feeling sick! 

Previous events

2022 Data.SQL.Saturday.LA

Virtual 2021 Data.SQL.Saturday.LA

Virtual 2020 SQL Saturday in Los Angeles

2019 SQL Saturday in Los Angeles

2018 SQL Saturday in Los Angeles

2017 SQL Saturday in Los Angeles

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

open, 37 days left
Call for Speakers
Call opens at 12:00 AM

01 Jun 2022

Call closes at 11:51 PM

11 Mar 2023

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

Data SQL Saturday LA has been delivering on-prem and virtual events since 2017.  This year's event is tentatively scheduled for June 10, 2023. 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 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 

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 god, 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 for data topics:

RDBMS: SQL Server/PostgreSQL/MySQL/Oracle/MariaDB

NoSQL: MongoDB, Cassandra, Elasticsearch, Couchbase

Data Visualization: Power BI / Tableau / Qlik / SSRS

Infrastructure: DBA/DevOps on Private, Hybrid, Public Clouds: Microsoft Azure / Amazon AWS / Google GCP / IBM SoftLayer

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

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