We'll be in the Golding Room, which is down at the left end of the bar. If you want to grab dinner feel free to order at the bar and they'll bring it in when it's ready
We'll be kicking off at 18:30 with Speaker 1, quick break about 19:30 to grab snacks and drinks, and then speaker 2 starting about 19:45. Times may move around but we aim to be done by 21:00.
We're pleased to announce that Paul Andrew will be speaking at this meeting. He'll be presenting his Introduction to SQL Server 2019 Big Data Clusters sessions, which he describes as:
The world of data is moving quickly and traditional relational database technology can be a limiting factor in responding to change. Teams want to move quicker, work with a wider array of data, handle massive datasets and augment their code with open-source libraries and projects. Data delivery and demand for immediate insights mean we no longer have the luxury to extract, transform and load datasets before we need to realise the value locked within our data. SQL Server 2019 has made radical architecture changes to meet these challenges, introducing in-built data lakes, spark clusters, massive data ingestion engines and the ability to harness massively parallel processing architectures. These engines are all implemented behind a single, scalable interface that streamlines data acquisition, transparently and without costly movement operations.
In this talk we will outline the problems that can be tackled with the new SQL Server Big Data Clusters, provide an overview of how they have been implemented and discuss how SQL Server can now handle your Big Data problems. We will be drawing parallels to the Azure Data Platform and highlight where we can adopt similar patterns in our on-premises data platforms.
Also presenting will be Chris Webb talking about:
Q&A in Power BI: gimmick or game-changer?
You have probably seen the Q&A feature in Power BI demoed many times, but is it just a demo feature? Do users really want to type questions and see Power BI visuals generated for them automatically? In this session you’ll learn:
What Q&A is, where it can be accessed by users and who it might be useful to
How the design of your dataset and reports can influence how well Q&A works
How advanced features like Synonyms and editing the Linguistic Schema file can enable more complex interactions
Whether it’s worth your time and effort to use Q&A in your Power BI deployment