SQLBits encompasses everything from in-depth technical immersions to the enhancement of valuable soft skills. The full agenda will be announced in the spring; in the meantime check out the timetable and content we cover below.
2024 Training Days
Presenting 2024’s selection of training days, encompassing a deep dive into a range of subjects with some of the best data trainers in the world.
- 08:00 Registration opens and breakfast served.
- All training days run simultaneously across the venue from 09:00 – 17:00 with co-ordinated breaks.
- All training days include regular refreshment breaks and a lunch stop to rest, recharge, and chat to fellow delegates.
- No evening events planned, but if you’re staying over the night beforehand, why not join us in the Aviator on Monday night to meet the training day speakers for an informal drinks reception.
Big Data & Data Engineering
Power BI + Synapse: Leverage the best of both for scale
Description
When you think of scale of data, you think about Azure Synapse Analytics. What about Power BI? Or course it scales! But to get that scale, you need to leverage the best features from both pieces instead of just looking at them in individual silos. In this training day, we will go through just that!
- SQL Dedicated Pool vs Serverless
- Data ingestion strategies
- Caching strategy with Aggregations
- Hybrid Tables
- Best practices
- Security and governance
- More…
- SQL Dedicated Pool vs Serverless
- Data ingestion strategies
- Caching strategy with Aggregations
- Hybrid Tables
- Best practices
- Security and governance
- More…
Learning Objectives
Attendees will leave with an understanding of the key features to leverage between Power BI and Synapse to achieve the best performance and scale. They will understand best practices to achieve those goals.
Previous Experience
Ideal attendees have spent some time in Power BI and at least SQL Server / Azure SQL Database - not necessarily Azure Synapse Analytics.
Tech Covered
Azure, Synapse Analytics, Power BI, Modelling, Optimising, Big Data & Data Engineering, Data Visualistion & Modelling