Call for Speakers

Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 278 days ago

2023 SQL Saturday Silicon Valley (SQLSatSV)

event date

21 Oct 2023

location

4 N. 2nd St., San Jose, CA, 95113 San Jose, California, United States


SQL Saturday Silicon Valley is a free training event for Microsoft and other vendor's 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/sv

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


finished 318 days ago
Call for Speakers
Call opens at 12:00 AM

10 Aug 2023

Call closes at 11:51 PM

10 Sep 2023

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

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 

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, 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

publicly listed on this page
44 submissions
Submitted sessions
Kristine N Umeh, Cecilia Lopez
  • Interactive Applications of Computer Science
Amit Parikh
  • Enhancing IT Business Outcomes: The Evolution of DBA Observability
Andreas Wolter
  • Inside data and access policies for Azure SQL and SQL Server
  • Using Microsoft Purview to control access to SQL at scale
  • Unleashing the power of access control in SQL Server and Azure SQL
Armand Aquino
  • Yes, You Can Have Application-Consistent Backups and Point in Time Recovery for SQL Server on EC2 in
John Sterrett
  • Query Store: Boosting Performance with Automated Optimization
Wanda He, Thuymy Tran
  • Aurora PostgreSQL for SQL Server DBAs
Sally Dabbah
  • Step-by-Step Guide: Building ETL Workflows in Microsoft Fabric
  • Efficient Data Partitioning with Microsoft Fabric: Best Practices and Implementation Guide
Rick Lowe
  • Weird Stuff I Saw While… Working with Multi Subnet Availability Groups
  • Query Hints ... What’s the Worst That Can Happen
Sudhir Amin, Vishal Srivastava
  • Privilege Database User Activity Monitoring using Database Activity Stream on Amazon RDS
Kuldeep Pisda
  • Mastering PostgreSQL: Advanced Techniques for Performance and Scalability
show all submissions
Deexith Reddy
  • Enhancing Testing for Automated Data Engineering Pipelines in Azure Data Factory
  • How to Prepare for SQL Interviews: Tips and Tricks to Ace Your Next Interview
  • Optimizing SQL Queries: Expectations - Unlocking High Performance and Efficient Database Operations
  • Slowly Changing Dimension - Automating Historical Records Storage
  • Automating Visualizations with Azure Data Factory, SQL Server, and Power BI: Data to Insights
Jeff Harry
  • Navigating Difficult Conversations Through Play
  • Why Ted Lasso’s Feminine & Masculine Leadership Matters
  • Building Psychology Safety At Work Through Play
Paul Turley
  • Data Modeling Solutions for Challenging BI Data Modeling Problems
  • Doing Power BI The Right Way For Database Developers
  • DAX is Easy ...until it isn't. DAX Basics for Beginners.
  • Microsoft Fabric | The Magic of a Unified Analytic Reporting Platform
  • Using Power BI with Lots of Data
Jason Romans
  • Unlock the Power of Power BI with Calculation Groups
  • Basics of building a data model in Power BI
  • Power BI and External Tools: This is the way!
Marsha Pierce
  • Virtualizing SQL Server
  • Making a Flashy Database.
  • Migrate Your Database Like A Rockstar!
Chandra Pathivada
  • Heterogenous Migration Techniques
  • PostgreSQL for SQL Server DBAs
  • 3 Steps to Migrate and Modernize SQL Server workloads to PostgreSQL.
Minesh Chande
  • Migrate SQL Server workloads to Babelfish for Aurora PostgreSQL
  • Customize your managed SQL Server database on AWS Cloud
Hasan Savran
  • Exciting new features in SQL Server for developers
  • What do Graph Tables bring to the table
  • How does Azure Cosmos DB work under the hood?
  • Performance tuning for Azure Cosmos DB
  • SQL Server vs Azure Cosmos DB
Alan Ferrandiz
  • Exploratory and Explanatory Data Analysis: from raw data to data-driven business decisions