Top Data Conferences in Australia 2024 & 2025

Discover top data conferences, summits, and events covering everything data-related
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DATA ARCHITECTURE MELBOURNE

Data Management
Data Science
18 - 18 Jun, 2024 Melbourne,  Australia
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Discover the essential tools and strategic approaches needed to construct a robust and scalable data architecture that drives transformative organisational success.

DATA ARCHITECTURE SYDNEY

Data Management
Data Science
25 - 25 Jun, 2024 Sydney,  Australia
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Positioning flexible architectures at the very heart of your data systems

Data Saturday Brisbane

20 - 20 Jul, 2024 Brisbane,  Australia
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Data Saturday Brisbane is a one-day event for professionals who use either On-premises or cloud technologies

CDAO MELBOURNE

CDO
AI
Data Management
2 - 4 Sep, 2024 Melbourne,  Australia
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Now in its eighth year, CDAO Melbourne is Victoria’s largest annual gathering of Data and Analytics decision makers. 

DATAENGBYTES SYDNEY 2024

24 - 24 Sep, 2024 Melbourne,  Australia
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DataEngBytes is the largest independent conference for data engineers and practitioners in Oceania.

DATAENGBYTES PERTH 2024

27 - 27 Sep, 2024 Perth,  Australia
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DataEngBytes 2024 is an exciting conference run by data engineers, for data engineers.

DATAENGBYTES MELBOURNE 2024

1 - 1 Oct, 2024 Melbourne,  Australia
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DataEngBytes is the largest independent conference for data engineers and practitioners in Oceania.

DATAENGBYTES AUCKLAND 2024

4 - 4 Oct, 2024 Auckland,  Australia
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DataEngBytes is the largest independent conference for data engineers and practitioners in Oceania.

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The information provided on the website dataEvents.co is curated manually and to the best of our abilities. While we make every effort to ensure accuracy, please be aware that data accuracy may vary and might not always be 100% precise. Conference details, dates, and countries are subject to change, and we recommend users to verify information directly with the respective conference organizers before making any travel or attendance arrangements. We are not liable for any inconvenience, loss, or misunderstanding arising from the use of this information.
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