Call for Speakers

Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 119 days ago

2022 Data.SQL.Saturday.LA

event date

13 Aug 2022

location

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. 

On the event date, if you were sick or have had a fever in the last 72 hours please stay home!

-> This year's event is intended to be onsite in Los Angeles, California. 

https://sqlsaturday.com/la 

Previous events

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/

finished 108 days ago
Call for Speakers
Call opens at 12:00 AM

01 Jun 2022

Call closes at 11:51 PM

23 Aug 2022

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 intended to be onsite in Los Angeles, California on August 13, 2022.  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


all submitted sessions

publicly listed on this page
39 submissions
Submitted sessions
Ajit Upadhyaya
  • DataBricks DataLake or SQL DataBase
Harriet Farmer
  • Your Career...Make It Happen
Prabhat Nigam
  • Office 365 Security with Azure MFA, PIM, and AIP
  • M365 Automation for Company Employee Onboarding
Mariya Ali
  • What's new in Synapse SQL Data Warehouse
Adrian Mee
  • SQL Server Management Studio - Beyond the basics
Rob Mandeville
  • Stop Indexing the Query
Diane Schuster
  • CozyRoc: Dynamic Data Flows in SSIS Without Programming
Dustin Vannoy
  • Getting started with Apache Spark on Azure
Akmal Chaudhri
  • Developing WebAssembly UDFs for in-database Machine Learning
Jeff Iannucci
  • An Introduction to Query Tuning using Execution Plans
  • Mastering Digital Communication: Better Practices for Successful Interactions
  • Breaking Bad Habits: Solutions for Common Query Antipatterns
show all submissions
Anna Hoffman
  • Catch the serverless bus: Azure Functions, Logic Apps, and Azure SQL Database
  • Azure SQL: What to use when
Michael McKinley
  • Application Lifecycle Management for Business Intelligence...a.k.a. ALM for BI
  • Data Modeling for Business Intelligence
Yitzhak David
  • Columnstore Indexes in SQL Server 2019/22 with Analytics, OLAP Workloads, Polybase and Power BI
  • Oracle and Nosql SQL Databases for Developer Security officers
  • Analytics in Power BI with R and Python with SQL Server 2019 2022 ML Service & Polybase
  • Query Store for SQL Server 2019/22 from zero to a hero & lessons learned from the fields.
  • SQL Server 2019/22 on Containers and Kubernetes(k8s) from Zero to a Hero!
Patrick Alexander
  • GCP Data Management and Analytics overview
Nuri Halperin
  • Data Migration Guide for Movers
  • MongoDB First Steps
  • Common Query Patterns in MQL
Brandon Leach
  • A DBA's Guide to the Proper Handling of Corruption
  • Data Pages, Allocation Units, IAM chains Oh My!…
Steve Jones
  • The Serverless Azure Database
  • Branding Yourself for a Dream Job
  • Continuous Integration with Local Agents and Azure DevOps
  • Adopting A DevOps Process for Your Database
Prabhat Nigam, Ajit Upadhyaya
  • DataBricks DataLake or SQL DataBase
Armando Lacerda
  • Hyperscaling cloud-based databases
  • Encrypting and securing your data in Azure SQL DB with no code impact
  • Lakehouse in a nutshell: Synapse Serverless SQL pool + PowerBI
  • Azure Synapse Analytics for Small Data Volumes
  • Let's keep it private - Azure networking cases
Elaena Bakman
  • SSIS: 0 to 60 in One Hour