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We’re delighted to Present an online version of YOW! Data in 2020, featuring selected invited speakers. YOW! Data is an opportunity for data professionals to share their challenges and experiences while our speakers share the latest in best practices, techniques, and tools.

To avoid attendee “screen fatigue” and ensure we can accommodate reasonable time slots for both speakers and attendees across time zones, our online conference will take place across three days, with talks scheduled by theme (Data Science, Data Engineering, Machine Learning/AI) for a few hours each day. Talks will be delivered live and after each session, we’ll head over to the YOW! Data Slack workspace for 25 minutes where you can participate in an interactive Q&A with the speaker, chat about the last talk, visit our partner channels or network in the #hallway-track.

So although we can’t meet face to face right now – you can still network, meet the experts and hone your skills all in one event!

Keynotes

Cloud Data Pipelines for Genomics from a Bioinformatician and a Developer

  • Lynn
    Langit
    Big Data and Cloud Architect
    Lynn Langit Consulting
  • Dr. Denis
    Bauer
    Team Leader Transformational Bioinformatics
    CSIRO

Speakers

Scalable IOT with Apache Cassandra.

  • Aaron
    Morton
    Co-Founder & CEO
    The Last Pickle

Low Latency Polyglot Model Scoring using Apache Apex

  • Ananth
    Gundabattula
    Sr. Architect
    Commonwealth Bank of Australia

Learnings from Building Data Products at Zendesk

  • Bob
    Raman
    Engineering Manager
    Zendesk

From Little Things, Big Data Grow - IoT at Scale

  • Christopher
    Biggs
    Director
    Accelerando Consulting

A Geometric Approach towards Data Analysis and Visualisation

  • Daniel
    Filonik
    Postdoctoral Fellow
    EPICentre, UNSW Art and Design

The Future of Art

  • J.
    Rosenbaum
    Artist
    J. Rosenbaum

Processing Data of Any Size with Apache Beam

  • Jesse
    Anderson
    Data Engineer, Creative Engineer and Managing Director
    Big Data Institute

Covariate Shift - Challenges and Good Practice

  • Joyce
    Wang
    Software Engineer
    Data61, CSIRO

Apache Spark for Machine Learning on Large Data Sets

  • Juliet
    Hougland
    Data Vagabond
    Bagged & Boosted

The Network, The Kingmaker: Distributed Tracing and Zipkin

  • Mick Semb
    Wever
    Consultant
    The Last Pickle

Cast a Net Over your Data Lake

  • Natalia
    Ruemmele
    Data Scientist
    Data61, CSIRO

Writing Better R Code

  • Ondrej
    Ivanič
    Sr. Data Scientist
    Commonwealth Bank of Australia

What is the Most Common Street Name in Australia?

  • Rachel
    Bunder
    Data Scientist
    Solar Analytics

Dipping into the Big Data River: Stream Analytics at Scale

  • Radek
    Ostrowski
    Big Data Engineer
    CBA/Toptal

Video Game Analytics on AWS

  • Richard
    Morwood
    Sr. Big Data Developer
    InfoTrack

Batch as a Special Case of Streaming

  • Roman
    Kovalik
    Big Data Engineer
    Quantium

Energy Monitoring with Self-Taught Deep Networks

  • Sau Sheong
    Chang
    Managing Director
    SP Digital

Workshops

Beyond Relational: Applying Big Data Cloud Pipeline Patterns

  • Lynn
    Langit
    Big Data and Cloud Architect
    Lynn Langit Consulting
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