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.
Business Intelligence in Azure
Description
Are you looking to develop or migrate a business intelligence (BI) solution to Azure? With so many different services available on the Microsoft Data Platform are you confused what to use for where and why? If the answer is yes, then this training day is for you!
We’ll look at a variety of different architectures, both PaaS and IaaS, and how the various Azure services can be used to create a cloud based BI platform to deliver your enterprise data. This will include SQL DB, SQL DW, Data Factory, Data Lake and Power BI.
We’ll also explore how you can extend this even further, integrating real-time data with a Lambda architecture using IoT Hubs and Stream Analytics, as well as introducing Machine Learning into the mix.
By the end of this day you’ll understand the pros and cons of the various services available, and how they can work together to provide a full business intelligence solution in Azure. Not just lift and shift, but a native cloud BI architecture.
Pre-requisites
A little experience developing business intelligence solution on the Microsoft data platform.
Laptop Required:No
Learning Objectives
Previous Experience
Tech Covered
Azure, BI, Power BI