Modernise your analytics platform with Databricks and Azure

Building a modern data platform and incorporating intelligence into your applications and analytics is unfamiliar territory for many.

Advanced analytics can give you a competitive advantage and unlock new insights in your data that was not previously possible without major investment and effort.

Join us for breakfast to learn how your organisation can modernise its analytics platform using scalable and secure cloud-based technology on Microsoft Azure.

After the session you will have a clear idea of the technical landscape and options available to deliver a modern analytics platform to allow you to focus on valuable business insights.

This event is intended for: CIOs, CTOs, IT Managers, CDAOs, and other related roles.

The benefits of a modern data platform architecture:

  • Extract additional rich insights from existing and new data sources
  • Ability to make critical business decisions based on valuable, timely insights
  • Reduced Total Cost of Ownership (TCO) with PAYG elastic pricing
  • Quicker time-to-market and lower risk with PaaS cloud services

At this session we’ll demonstrate:

  • Where to start to transform your traditional analytics into a modern, advanced analytics platform capable of delivering the above benefits
  • The mix of resources and skills required to deliver a modern platform
  • How to do data engineering at huge scale and lower cost compared to traditional analytics
  • Look at some real customer case studies
  • Best of all – how to do all of this with a tried and tested architecture with rapid iterations and low cost
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How can I stop my Data Lake becoming a Data Swamp?

It’s easy to turn your organisations data repository into a dumping ground filled with duplicate, stale or invalid data. There’s a number of steps to take to prevent this starting with a good data lake design, data governance and data lineage.

What is the difference between Databricks and Apache Spark?

Databricks is a managed Spark service which adds a notebook environment, git integration and unified analytics platform backed by the power and huge scale of Spark. No more building and maintain Spark clusters! Databricks was started by the creators of the Spark project so there is a close connection which results in a better product. It’s easy to get started with Databricks with it’s elastic, PAYG pricing, whereas a Spark cluster would take significant investment and resources to set up before it could be used.

What is ML Ops or AI Ops?

ML Ops is DevOps for a Machine Learning Project (sometimes incorrectly labelled as an AI project). A DevOps culture is important to increase the speed of iterations, time to market, ability to change quickly and monitor deployed code. It greatly improves quality and an ML project is no different.

Download the slides

Opening Introduction
MS Ignite News
Modern Data Platform

Hourly Schedule

8:30am - 9am
Registration, Networking & Breakfast
9am - 10:30am
Expert-Run Sessions
10:30am - 11am
Networking & Morning Tea


14 Nov 2019


8:30 am - 11:00 am
Four Seasons Hotel Sydney


Four Seasons Hotel Sydney
199 George St, The Rocks NSW 2000
Contact Us to Register
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