We are back for September on the eve of the Big Data LDN conference with two fantastic sessions.
** Please only register if you are able to attend as the number of available places is limited **
Data Modelling for Super Stars! How to collaboratively design your star schema with end users
Johnny Winter
Despite claims to the contrary, dimensional modelling and star schemas are alive and well the in the modern data world. But whilst developers might have great technical skills and understand how to build a star schema, they may lack the business domain knowledge to ensure that what they deliver is fit for use by analysts and self-service users. On the flip side, these end users often know what they want and need from a data platform, but struggle to explain this in a way that makes it easy for developers to implement.
How can we improve the requirements gathering process to make sure we avoid the tensions that can arise from this?
This session will cover a data modelling requirements approach that looks to bridge the gap between business and IT by using an end-to-end process for working with business users to collaboratively design a dimensional model, making sure you build super star schemas and turn your self into a data modelling superstar.
About Johnny:
Johnny currently works as a data and analytics consultant. He’s been working with Business Intelligence software since 2007, specialising in full stack data platform development since 2016. He’s a self-confessed Business Intelligence geek and in his spare time runs the website, SubStack and YouTube channel Greyskull Analytics, where he likes to nerd out about all things data.
Can Microsoft Fabric Materialized Lake Views Deliver Low Effort Data Engineering?
Andy Cutler
Materialized Lake Views (MLVs) in Microsoft Fabric Lakehouses offer a declarative approach to building data loading and data materialization pipelines. This session introduces how MLVs simplify data loading piplines, automate refreshes, and visualize data loading lineage across the process. Attendees will learn how MLVs support integrated data quality rules, enabling trend analysis and alerting for violations, all without manual pipeline orchestration. We'll also cover current limitations and the roadmap for new feature support.
About Andy:
I am an Azure Data Platform professional working predominantly with Azure Synapse Analytics (SQL Pools), Data Factory, SQL Server and Power BI. I hold an MSc in Business Intelligence and Data Mining. I am a current Microsoft Data Platform MVP.
Agenda
18:45 - Welcome, drinks and pizza
18:45 - First Session
19:45 - Second Session
21:00 Close
Venue
Tenth Revolution offices in London.
Aldgate House, 33 Aldgate High St, London EC3N 1DL
Please provide your first and last name when registering for the event, as this is provided to building security to allow you entrance into the venue.