Perth Big Data Week 2016


The Pawsey Supercomputing Centre has coordinated a series of week-long Big Data events since 2013. This year saw the largest number of events with over 14 events run from Monday 2nd May to Friday 6th May 2016.

A full list of 2016 events can be downloaded here.

The objective was to highlight and promote the ever-growing range of big data and data analytic projects here in Perth, and raise the awareness of how these technologies will make WA an even better place to live and work.

The week was launched on Monday by the Hon. Bill Marmion MLA, Minister for Finance and State Development at Scitech. He was joined by Western Australia’s leaders in big data across government, industry and research, some of whom joined the ‘Big Data Crunch’ event run by Scitech / Office of Science.   This event connected high school students with data scientists, researchers and industry professionals from a wide range of leading organisations. The aim was to inspire students with a showcase of the wide array of career options in STEM and data science.




Tuesday saw the opening of the ‘Science on the Swan’ conference with the day’s program focusing on Big Data applications within precision medicine, featuring many international speakers, while the Chamber of Commerce and Industry (CCI) ran a breakfast event titled “Using big data technology to solve small data business challenges”. It featured Brett Looney, Solutions Architect, Amazon Web Services and Mark Stevens, Managing Director, Skrydata.

Wednesday morning saw a presentation on Elastic Data Analytics by Pawsey, focusing on Hadoop and Spark for Scientific Workflows. Over 25 people attended and considerable interest was shown to undertake further discussions.



In the afternoon at Curtin University’s HIVE (Hub for Immersive Visualisation and eResearch) two interesting presentations on “The GaLactic and Extragalactic All-Sky Murchison Widefield Array (GLEAM) survey: Viewing the Sky with Radio Eyes” and “3D Reconstruction Processing for the HMAS Sydney & HSK Kormoran 3D Imaging Project” were given. HIVE’s HMAS Sydney and HSK Kormoran 3D Imaging also made it to the ABC 7.30 report.




Thursday 5th May saw a huge turnout (over 55 people) at the Pawsey event “Big Data from Space”, which discussed Copernicus, The European Earth Observing programme. Presentations were made from Pawsey staff (Dr. Kathryn Barker and Dan Marrable) along with Dr. Matthew Adams (Landgate), Dr. Ben Radford (Australian Institute of Marine Science) and Professor David Antoine (Director, Curtin University – Remote Sensing and Satellite Research Group). Science Network WA also featured Copernicus in WA in a feature In Focus story.




In the evening, Scitech and Centre of Comparative Genomics, Murdoch University hosted the event ‘Big Data, eResearch and the Cloud’. Held in the impressive Planetarium, guests heard from leaders in the field of cloud computing who gave insights into the rapidly changing world of Big Data. These included: Professor Matt Bellgard (Director, Centre for Comparative Genomics, Murdoch University); Andrew Phillips (ANZ Public Sector Country Manager, Amazon Web Services); Adrian White (Head of Scientific Computing, APAC and Japan, Amazon Web Services); Jonathan Wade (Cloud Solutions Architect, Azure at Microsoft) and Dr Rhys Francis (eResearch Strategic Consultant).

The week finished with some great events including the inaugural ANDS Monthly Tech Talk, ECU / CISCO ‘Big, Bigger, BIGGEST’ presentation and Woodside’s Future Lab Exchange which saw representatives from government, universities and industry brainstorm ideas on how data science can play a role in solving issues facing Western Australia.



Thank you!

A big thank you to everyone involved with Perth Big Data Week, specifically Office of Science and Scitech. It was a great collaboration and highlighted some great work being undertaken in Perth.

We look forward to another successful event in 2017, which will see a greater focus on ‘data’ and ‘data science’. Data science is a growing field that crosses all disciplines and covers skills and techniques used when trying to extract insights and information from data including ‘big data’.