Call for Speakers
Data and AI Architecture Virtual Group - 2024 Season
to be defined
Online
This group will have meetings to discuss the best way to architect and design for the optimal approach to run data and intelligent systems.
All data professionals welcome: database administrators, database analysts, database engineers, architects, ML and AI practitioners and anyone with an interest and passion in this type of technology.
The group aims to cover multiple platforms and paradigms: open source, proprietary, cloud based (any of the hyperscalers), platforms (Snowflake, Databricks, etc) as well as a variety of topics related to data and artificial intelligence architecture, operations, pipelining, governance and more.
Call for Speakers
06 Dec 2023
06 Dec 2024
Booking for our 2024 season! Please include abstract (1-3 paragraphs, no need to make it huge) and bio. We will coordinate the specific presentation time, usually a lunch and learn around North America Eastern time zone but we can adjust depending on speaker location.
Level of expertise is open, can be intro or deep dive, up to the speaker.
Expected length would be 1 hour leaving some time for questions.
all submitted sessions
If you haven't logged in before, you'll be able to register.
Using social networks to login is faster and simpler, but if you prefer username/password account - use Classic Login.
Submitted sessions
- No Code Predictive Analytics and ML Modeling
- Deepdive on Shortcut feature in Microsoft Fabric
- Build your first LakeHouse in Microsoft Fabric
- Using Microsoft Fabric as an End-to-End Data Solution for Data Forecasting
- The Saga continues.. handling Microservice Transactions with MicroTX
- The next generation of Synapse Data Warehousing in Microsoft Fabric
- Introduction to M and Power Query
- An Introduction to DAX
- You could have invented Fabric: a beginner's guide.
- Optimizing ETL on SQL Server Side
- Predictive Analytics with T-SQL
- Association Rules Step by Step
- Implementing AI solutions using the cognitive services in Azure
- Sentiment analysis using PowerBI and Azure Cognitive Services
- Designing Event Driven Architectures on Cloud/Platform
- The Power Habits® of Legendary Leadership
- A Game-Changing Duo in Fabric: Dataflow Gen2 and Pipeline in Data Factory:
- A deep dive into Docker
- Running SQL Server on Linux
- Introduction to Microsoft Fabric - Data analytics for the era of AI
- The evolution of SQL Server as a Service - Azure SQL Database Managed Instance
- Introduction to Azure SQL
- MS SQL New functions, syntaxes, tips & tricks
- Addressing climate change with help of Machine learning
- Machine Learning with Azure Databricks
- Transitioning your T-SQL skills to Spark SQL
- Control your data lake with Databricks SQL Warehouse
- Audit and Prevent unwanted SQL Server Tables changes
- Effective Data Warehouse Storage Patterns
- Explore your data lake with Synapse Serverless SQL Pools
- Code, deploy and maintain your Azure (data) Infrastructure with confidence
- Choosing the Azure SQL DB tier, tales from the trenches
- Improving Analytics Performance With Columnstore Indexes
- Columnar Data Storage: A Deep-Dive into Parquet, Delta Parquet, Columnstore Indexes, and More!
- Database Design Fundamentals
- In Depth Incremental Refresh with Hybrid tables in Power BI
- Microsoft Fabric
- Optimize Your Delta Lake
- Developing Sensible Data Architectures in the age of Cloud Abudance
- 10 things you (probably) don't know about Databricks
- Curating the User Experience: A Chef's K.I.S.S to Reporting
- Avoiding Common Pitfalls in Models and Reports: Lessons from the Trenches
- Avoid Data Silos! Best Practices for Implementing Shared Datasets
- Achievement Unlocked - Upgrading Your Visuals and Reports
- Visual Design: Do not let Data be your cul-de-sac!
- Finding the Right Data Types
- The Data Warehouse in Fabric
- The Kusto experience in Fabric
- Azure Synapse serverless vs Fabric warehouse
- Simplify data management with partitioning
- Security techniques for cross database access
- How to handle Timeseries with Microsoft SQL Server
- Customize your managed SQL Server database on AWS Cloud