Call for Speakers
2024 Data.SQL.Saturday.LA (SQLSatLA)
1 Jun 2024
Loyola Marymount University ("LMU"), 1 LMU Dr., Los Angeles, CA 90045 Los Angeles, California, United States
sqlsaturday.com/la
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.
This is an in-person event!
Stay home if you are feeling sick!
Previous events
2023 Data.SQL.Saturday.LA
https://sqlsaturday.com/2023-06-10-sqlsaturday1049/
2022 Data.SQL.Saturday.LA
https://sqlsaturday.com/2022-08-13-sqlsaturday1029/
Virtual 2021 Data.SQL.Saturday.LA
https://sqlsaturday.com/2021-06-12-sqlsaturday1020/
Virtual 2020 SQL Saturday in Los Angeles
https://sqlsathistory.com/SQLSat0978.html
2019 SQL Saturday in Los Angeles
https://sqlsathistory.com/SQLSat0891.html
2018 SQL Saturday in Los Angeles
https://sqlsathistory.com/SQLSat0773.html
2017 SQL Saturday in Los Angeles
https://sqlsathistory.com/SQLSat0640.html
This event is organized by a Data Driven Technologies, Inc 501.c.3 non-profit.
https://datadriventechnologies.org/sqlsaturday-in-losangeles/
Call for Speakers
01 May 2022
21 May 2024
Data SQL Saturday LA has been delivering on-prem and virtual events since 2017. This year's event is scheduled for June 1, 2024. 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
Submitted sessions
- Google BigQuery ML - Democratizing AI/ML so anyone can do data science
- Powering generative AI use cases with vector databases on AWS
- RDS Proxy
- Overcoming Imposter Syndrome: How Female Founders Can Use Charisma and Communication to Believe in T
- The Art of Influence: Empowering Developers' Team Collaboration
- Networking Boost: Crafting Lasting Friendships and Opportunities!
- Performance tips to rocket your queries
- Migrating DBA Network Skills to the Cloud
- Introduction to Automated Deployments with GitHub
- Introduction to Automated Deployments with Azure DevOps
- Unveiling Insights: A Beginner's Guide to Exploratory Data Analysis
- AutoGen: A Framework for Building Conversational Agents for Large Language Model Applications
- The Art of Regression and Classification: A Beginner’s Guide to Model Training
- Natural Language Interface to Databases: A New Paradigm for Data-Driven Development
- Exploring Sentimental Analysis using Azure AI Search for your Search Documents
- Revolutionizing Business Intelligence: Integrating Azure SQL with Azure OpenAI.
- Visual Symphony: Crafting Elegant Visualizations with R and Power BI
- Microsoft Fabric: Data analytics for the era of AI
- Exploratory and Explanatory Data Analysis: from raw data to data-driven business decisions
- Privilege Database User Activity Monitoring using Database Activity Stream on Amazon RDS
- Real-time stream analytics from your transactional workload on Amazon RDS
- Introducing Microsoft Fabric: Data Analytics SAAS
- Fast and Furious: Power BI Direct Lake in Fabric
- Row-Level Security patterns in Power BI
- Prevent Ransomware Attacks
- M365 Automation for Company Employee Onboarding
- M365 GCCHigh: Deep Dive Inside
- Career Advice: Passion and Productivity
- SQL Server: Views and Stored Procedures for Optimizing Library Data
- Google BigQuery - Heart of Smart Analytics toolset on Google Cloud
- Power BI Development Framework Post Fabric Launch
- Strengthen Azure & on-premises SQL Server access with passwordless methods
- SQL Server under attack: SQL Injection
- Quickstart into Performance Monitoring & Troubleshooting for SQL databases in Azure and Fabric
- Data protection next level: what comes after access control
- This is not your daddy's backup routine
- From Zero to Hero on Microsoft Fabric Spark Compute
- MS Fabric + Azure SQL DB = Amazing analytics.
- MS Fabric crash session
- Hybrid Disaster Recovery with SQL Server 2022
- Postgres Window Magic
- Explaining the Postgres Query Optimizer
- Postgres and the Artificial Intelligence Landscape
- Non-Relational Postgres
- Making Postgres Central in Your Data Center
- Vector Search and "AI" - Applicability to Databases
- MongoDB First Steps
- The Right DB for the Right Job
- Architecting Your Microsoft SQL Server Workloads on VMware Cloud Foundation
- From Stutterer to Speaker: Overcoming Your Fears
- Who Is On Call For You?
- Use AI To Make Your Data Job Easier (and More Fun)
- Ground to Cloud: Your Migration Success Checklist
- Index Performance Tuning Using Pain Reduction