Name: Unveiling Exciting New Features and Demos!
Start: 2025-07-03T16:30:00.000Z
Location: Slalom

**Welcome to the Manchester Databricks Meetup – July 2025**

*Unveiling Exciting New Features and Demos!*

**Agenda:**
**17:30 – 17:45 \| Arrival & Networking**
Mingle with fellow data enthusiasts and professionals.

**17:45 – 18:00 \| Opening Remarks & Introductions**
Meet your fellow attendees and the organisers.

**18:00 – 18:45 \| Data \+ AI Summit Round\-Up: Unveiling Exciting New Features and Demos**
**Marius Panga** – Senior Solutions Architect @ Databricks
**Lingesh Kanniappan** – Senior Solutions Engineer @ Databricks

**19:00 – 19:45 \| Building Real\-Time Trading Dashboards with Lakeflow Declarative Pipelines\, Serverless OLTP\, and Databricks Apps**
**Matt Slack** – Senior Specialist Solutions Architect @ Databricks

**Sessions:**

**“Data + AI Summit Round-Up: Unveiling Exciting New Features and Demos”**
*Presented by: Marius Panga & Lingesh Kanniappan – Databricks*

Join Marius and Lingesh for an informal tech session where they’ll provide an overview and showcase exciting demos of the latest Databricks features announced at last month’s Data + AI Summit.
Discover how to leverage these updates to maximise your enterprise data platform and drive innovation across your organisation. Don’t miss this chance to catch up on the very latest in data and AI with Databricks.

**“Building Real-Time Trading Dashboards with Lakeflow Declarative Pipelines, Serverless OLTP, and Databricks Apps”**
*Presented by: Matt Slack – Databricks*

We’re excited to welcome Matt Slack from Databricks, who will give us a behind-the-scenes look at how Barclays is transforming its post-trade monitoring capabilities using the latest innovations in the Databricks ecosystem.

Barclays Post Trade real-time trade monitoring platform was historically built on a complex set of legacy technologies including Java, Solace, and custom micro-services.This session will demonstrate how the power of Lakeflow Declarative Pipelines' new real-time mode, in conjunction with the foreach_batch_sink, can enable simple, cost-effective streaming pipelines that can load high volumes of data into Databricks new Serverless OLTP database with very low latency.Once in our OLTP database, this can be used to update real-time trading dashboards, securely hosted in Databricks Apps, with the latest stock trades - enabling better, more responsive decision-making and alerting. The session will walk-through the architecture, and demonstrate how simple it is to create and manage the pipelines and apps within the Databricks environment.

**Date and Location:**
📅 **Date:** 3rd July 2025
🕠 **Time:** 5:30 PM – 8:00 PM
📍 **Venue:** Slalom – Floor 15, Bloc, 17 Marble Street, Manchester, M2 3AW

Join us for a fantastic evening of learning and networking at the Manchester Databricks User Group!

Manchester Databricks User Group

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Unveiling Exciting New Features and Demos!

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