Call for Speakers

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Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 16 months ago

2024 SQL Saturday SD (SQLSatSD)

event date

14 Sep 2024

location

UCSD Extension, 9600 N Torrey Pines Rd Ste E, La Jolla, CA 92037 La Jolla, California, United States


SQL.Saturday.SD 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. 

This is an in-person event!

Stay home if you are feeling sick!

https://sqlsaturday.com/sd 

Previous events

2023 Data.SQL.Saturday.LA

https://sqlsaturday.com/past/

This event is organized by a Data Driven Technologies, Inc 501.c.3 non-profit.
https://datadriventechnologies.org/sql-saturday-in-san-diego/


finished 19 months ago
Call for Speakers
Call opens at 12:00 AM

16 Jun 2024

Call closes at 1:00 AM

17 Jun 2024

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

SQL Saturday SD has been delivering in-person events since 2010. This will be our first event after the Covid era. If you will be in the area at that time, we welcome your submission(s).

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


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