Data Engineering Melbourne

Name: Real‑time & Batch on Fabric
Start: 2026-05-28T08:00:00.000Z
End: 2026-05-28T10:00:00.000Z
Location: Thoughtworks

4.6•701 ratings

About us

Welcome to the Data Engineering Melbourne Meet Up Group!

Join us for engaging discussions and networking opportunities centered around data engineering in the vibrant city of Melbourne.

Our monthly events, held both in-person and in a hybrid format, provide a safe space for data enthusiasts to come together and share their knowledge and experiences.

At our meetups, you won't find any sales pitches or promotional activities. Instead, we focus on facilitating genuine connections and meaningful conversations. Whether you're a seasoned data engineer or just starting your journey, our events offer valuable insights, discussions, and learning opportunities.

We value the spirit of community, networking, learning, and empowerment. Our aim is to build a supportive and collaborative community where data professionals can learn from each other and grow together.

Our events are completely free of charge and open to everyone.

Come and join us at the Data Engineering Melbourne Meet-Up Group, we look forward to meeting you!

Join our slack channel here: Data Engineering Melbourne on Slack

Featured event

Real‑time & Batch on Fabric

Thu, May 28 · 18:00 AEST

Thoughtworks, Level 35/360 Collins St, Melbourne VIC 3000, Melbourne, AU

Topic: Real‑time & Batch on Microsoft Fabric
Date: Thursday 28th May 2026 at 6.00 pm - 8.00 pm
Networking: 6 pm - 6.30 pm and 7.20 - 8 pm
Presentation Time: 6.30 pm - 7.20 pm
(includes welcome, presentation 30 mins & community marketplace)
Location: Thoughtworks HQ Level 35/360 Collins St, Melbourne VIC 3000
Ticket: Free of cost, however, registrations and RSVP are required!
Sponsor: Thoughtworks

Real‑time & Batch on Fabric
This session presents the end state of a mixed real‑time and batch analytics platform on Microsoft Fabric.

Live event streams are handled using KQL/Eventhouse, enabling low‑latency dashboards and operational insights with minimal processing overhead. In parallel, near real‑time and batch data is processed using governed, lightweight Fabric patterns designed for efficiency and scale.

The outcome is a single, capacity‑aware Fabric platform where real‑time and analytical workloads coexist cleanly, with Power BI as the unified consumption layer.

About The Speaker
Arjun Shankar has over a decade of experience turning data challenges into scalable, cloud-first platforms that drive real business decisions. He has worked across banking, finance, transport, insurance, and energy, specialising in the Azure stack: Synapse, Data Factory, Databricks, PySpark, and Fabric.

From reducing platform costs, to accelerating delivery, and putting self-service analytics in the hands of the people who need it.

Outside work, he's usually out on a trail, training for his next marathon, or keeping up with two young boys.

We’re excited to bring the Data Engineering Melbourne Meetup group together for an evening with Arjun and his insights!