Melbourne

The Data Pipeline
Automation Tour

A Global, Hands-on Lab Series

Melbourne | Work Club Melbourne — Olderfleet | February 24, 2023

Build Intelligent Data Pipelines in Melbourne

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Join our Data Pipeline Automation tour to build intelligent data pipelines in your Snowflake environment! 

We’ll spend a half-day sharing the key trends in data engineering automation, participating in a hands-on lab, and networking with fellow data practitioners over happy hour.

Whether you’re a developer, an analytics engineer, or a data executive, join us to learn about how to manage all the data pipeline needs in one place, detect and propagate change across your ecosystem, and ensure data accuracy.

  • Location: Melbourne, Australia
  • Venue: Work Club Melbourne — Olderfleet. Level 35, 477 Collins Street (Google Maps)
  • Date: February 24, 2023
  • Time: 12:30 pm — 6:00 pm

Save your seat and explore how you can use automation in ways that are not even possible with other platforms!

Why Attend the Data Pipeline Automation Tour

Learn

Depending on the location, join our CEO, Sean Knapp, Field CTO, Jon Osborn, customers, or partners, including Snowflake, and DoIt, to hear about the trends in data engineering, the latest capabilities and newest use cases, and the opportunities to drive greater impact with automation.

Build

Participate in our hands-on lab to build your first intelligent data pipeline. Gain access to 1:1 time with Ascend experts who will be able to answer your most basic or advanced questions. You’ll only need your laptop and a free Ascend account. Don’t worry, you can sign up on the spot!

Network

Meet, grab a drink, and connect with fellow data practitioners and leaders. Find out how others are building their data pipelines, what benefits and challenges are they experiencing, and bounce ideas off of each other to accelerate the delivery of data products.

What Can You Expect

Discover the details for the agenda.

Program Agenda

12:30 – Registration and Lunch

 1:00 – Presentations from Data Leaders

 2:00 – Hands-on Lab – Build an Intelligent Data Pipeline

 4:30 – Happy Hour (Optional and encouraged!)