What we’re about
Previously, the Leeds SQL Server user group. The Data Platform & Cloud group is for anyone interested in learning more and/or sharing their knowledge of the Microsoft Data Platform or Azure Cloud Computing Services.
Topics and technologies will be varied but along the lines of SQL Server, SSIS, SSAS, Power BI, Azure DB, Azure automation, Azure SQL Data Warehouse, SQL Server on Linux and containers. All skill levels are welcome.
Upcoming events (1)
See all- LDPaC In-Person Meetup 12th Sep: Transforming SQL Auth & Flink-Kafka FusionInfinity Works, part of Accenture, Leeds
Price - Free
Thank you to Accenture for sponsoring and hosting this event.
Join us for a In-Person User Group Meeting (LDPaC), where you can network, learn, ask a question, and meet other likeminded folks. These events are a really great opportunity to socialise in an informal learning setting.
Remember to tell your friends and the people you work with; make sure you register as soon as you can. We will need to provide a list of names to Accenture before the event, so to ensure there are no issues with access on the day please make sure you have registered.
17.45 - 18:00 Network 🤝
18.00 - 18:30 Drinks & Pizza 🍕
18:30 - 18:40 Intro🎙️
18:40 - 19:30 Transforming SQL Authentication: Real-World Scenarios with Azure Managed Identity. - Dieter Gobeyn 🔊
Discover how to enhance the security of your SQL databases by transitioning from traditional password-based authentication to a modern, passwordless approach using Azure Managed Identity. In this session, I will explore real-world scenarios that demonstrate the practical implementation of transitioning from connectionstrings to Role-Based Access Control (RBAC) with Managed Identity for Azure applications. Highlighting the benefits of eliminating passwords and simplifying access management.
19:30 - 19:40 10-min Break 🥤
19:40 - 20:30 Flink-Kafka Fusion: Patterns for Building Scalable Stream Processing Applications. - Dunith Dhanushka 🔊
When properly configured, Apache Kafka and Apache Flink provide a solid foundation for building scalable and reliable stream processing applications. However, it is difficult for most data professionals to get this combination right first, leading to project delays and costly mistakes. Consequently, having a set of patterns for stream processing applications is essential, just as it is for other software architectures.
This talk will walk you through more than ten stream processing patterns using Kafka and Flink. First, we discuss various computational patterns covering stateless and stateful operations. Then, we look at several state management patterns for state recovery and maintaining accuracy. Finally, we discuss several non-functional patterns, especially related to the deployment architecture, which helps us achieve high availability, security, and cost reductions of streaming applications. For each pattern, the business motivation, a sample code in Flink, and other related patterns will be provided, making it easy for the audience to grasp the essence.
This talk can benefit data practitioners of all levels, including application developers, data engineers, and architects, by providing them with blueprints for stream processing. Knowing these patterns will save time and avoid making the same mistakes that others have made in the past.
Come and join the Leeds Data Community and start learning and networking! All are welcome!
