Speaker

Ike Ellis

Ike Ellis

General Manager - Data & AI, Solliance

Ike Ellis is the General Manager for the Data & AI Practice at Solliance. He has designed and implemented data solutions for many well-known organizations. He has been a Microsoft Data Platform MVP since 2011. He co-authored the book "Developing Azure Solutions," now in its second edition. He is a popular speaker at SQLBits, PASS Summit, and SQL in the City. He speaks at user groups, code camps, and SQLSaturdays. He has written courses on SQL Server for developers, Power BI, CosmosDB, Databricks, and Azure SQL Database. He runs the San Diego Power BI and PowerApps user group. He founded the San Diego Tech Immersion Group, a technical book club based in San Diego and is the co-chair of the San Diego Software Architecture Group.

Data Modeling Trends for Analysis and Data Lakes

There is so much confusion on how to model decision-making data for analysis. The number of products and tools the average company uses to store data has exploded. The database vendors are competing and releasing features at an astounding rate. One vendor says one thing while another vendor says another thing. The cloud vendors have also accelerated the pace of change. Do we still need a star schema? Do we create aggregate tables? How do we handle temporal data? How should we create slowly changing dimensions? These things are creating a confusing atmosphere for the data modeler.

It is true that data modeling has changed, but there is no need to throw out great practices that have served us for years and can continue to do so. This session will cover what has changed for data modeling, why it changed, and how to take advantage of those changes. Combine new thinking with classic data architecture and you will create great analytic and transactional systems for your data.

Data Modeling Trends for the Relational Developer

There is so much confusion regarding data modeling today. NoSQL solutions, Microservices, In-memory data stores, and cloud vendors have all combined to create a confusing atmosphere for the application data modeler. Is the EF Codd era over? Are we over or under normalized? How important is modeling to performance? Do we use the data model to enforce data integrity and business logic rules? Is it OK to repeat data?

When EF Codd made the rules, he was under different constraints and had different priorities than we have. We need to understand the current constraints of the modern application and re-prioritize our design principles to accomodate them. We need to emphasis the ability to change the model to keep up with the rate of change that business is demanding of us. Come to this session to learn how to correctly model data in a fast-changing business application environment.

10 Cool Things You Can Do With Azure Databricks

All demos! No slides! Ike, Dustin, and Simon will show you 10 cool things you can do with Azure Databricks. Each demo will be 5 - 10 minutes and will give you plenty of ideas of how you can implement this exciting technology in your environment, and have fun doing it!

We'll show you demos on:
* Use Databricks from VS Code
* Streaming with Databricks and Event Hub
* Time travel with Databricks Delta
* Databricks secrets with Azure Key Vault
* Schedule notebook as production job (with parameter passing)
* and obviously more!

Ike Ellis

General Manager - Data & AI, Solliance

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