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.
Microsoft Azure Data Lake and U-SQL Deep Dive (hands on)
Description
Microsoft recently released the Azure Data Lake services to allow you to prepare and process Big Data. It offers you both Hadoop clusters and the new Azure Data Lake Analytics job service with the new query language called U-SQL that evolved from Microsoft’s internal Big Data platform.
This seminar will give you an introduction to Azure Data Lake all up, including the Azure Data Lake Storage service and then go deeper into Azure Data Lake Analytics and U-SQL. You will learn what U-SQL is, gain some hands-on experience working through a Lab, see how the tools enable your productivity from day one and see further details on the language and its use.
Pre-requisite: Minimum: A laptop that can connect to the Azure Portal. Alternatively: A laptop with Visual Studio (2012/13/15) community edition and the latest Azure Data Lake Tool installed.
This seminar will give you an introduction to Azure Data Lake all up, including the Azure Data Lake Storage service and then go deeper into Azure Data Lake Analytics and U-SQL. You will learn what U-SQL is, gain some hands-on experience working through a Lab, see how the tools enable your productivity from day one and see further details on the language and its use.
Pre-requisite: Minimum: A laptop that can connect to the Azure Portal. Alternatively: A laptop with Visual Studio (2012/13/15) community edition and the latest Azure Data Lake Tool installed.
Learning Objectives
Previous Experience
Tech Covered
Azure, Analytics