Sydney

Migrating all your data types to a single repository is likely one of the main reasons you chose Snowflake, but it is often a daunting and time-consuming task. Not only do you need to find a way to efficiently transform large amounts of data, but you need to find a way to connect to disparate data sources to extract data, transform and ensure it is secure in transit.

Join Adam Skinner, CTO of Fitness and Lifestyle Group, to learn why they choose Snowflake and Matillion ETL to meet their performance, scale, security, and cost savings objectives for analytics, master data management, and application modernization workloads.

Many companies have made significant investments in building data lakes as their central data repository yet they struggle to show real business impact from those efforts. Use Snowflake as or with your data lake to eliminate complexity while delivering rapid analytics and establishing critical governance requirements. For your new data lake project, learn how Snowflake can be the center of your data strategy, and for existing data lake deployments, learn how Snowflake can turn a failed data lake strategy into a successful one.

Learn how Snowflake customers use Snowflake to share, exchange, and monetize their data. This session will showcase Snowflake’s Secure Data Sharing technology and how organizations such as Heap, Braze, Weather Source, and others use the new Snowflake Data Exchange to enable their customers to securely access, query, and join data between organizations, while protecting PII and remaining in control of their data.

“Do you have data to back that up?” should be a question that no one is afraid to ask, and everyone is prepared to answer. Tableau and Snowflake provide superior technology to enable organisations to use data for decision making. But deploying the latest technology is not enough. It comes down to changing the culture where every individual is allowed and empowered to achieve great things because of the data at their fingertips.

Quantium harnesses the power of data to drive transformational outcomes for their clients through advanced analytics and machine learning. From an on-premise and Spark centric environment to a richer and more diverse tool ecosystem, learn how Snowflake enabled Quantium to build, at scale, new data analytics products they offer their customers.

Harmoney operates as an online marketplace lending platform, providing personal loans to consumers in Australia and New Zealand. Harmoney acquires the majority of its customers from online advertising, competing with much larger companies with superior budgets. Harmoney ​uses data science to determine which prospects ​are most likely ​and most cost effectively ​to ​convert to custome​rs.

With the combination of Snowflake and DataRobot, Harmoney was ​able to rapidly produce and deploy a predictive model, executing in near real time, to target Google Ads customers and maximize the return on advertising spend.

This session explores the business problem, how Harmoney applied a machine learning model and the resulting outcome to the business. Learn about the Harmoney-Snowflake implementation and how this enabled the development and delivery of an award winning data science solution.

One of the most common questions customers ask when they start with Snowflake is “What are Snowflake’s best practices?” Learn recommendations for how to apply key Snowflake concepts such as virtual warehouses, sizing, and multi-cluster workloads so you can get value from your deployment faster. In addition, you’ll get insight into managing and monitoring compute and storage costs and how to track and attribute costs to business units for chargebacks.

Data Vault 2.0 is a system for designing and deploying data structures for enterprise data warehouse repositories. Attend this session and you’ll learn about unique capabilities in Snowflake to make your Data Vault 2.0 system more agile, flexible, and scalable. They include Snowflake features to: hyper-parallelize and automatically scale load processes; easily include JSON in your data vault; load data using multi-table inserts; easily separate PII or PHI data; use MD5 hash function; and virtualize your information marts. You’ll also hear details about a Snowflake customer and their Data Vault 2.0 success.

According to IDC, about 54M data workers around the world face challenges associated with the complexity, diversity, and scale of their company’s data. Companies that use powerful solutions that can handle large volumes and diverse data formats can provide better and faster insights into their business — at scale. See how Fitness & Lifestyle Group, a leading health and wellness group based in Australia, improved their users journeys and empowered their customers with data, resulting in improved conversion and sales completion metrics. Presented jointly by Adam Skinner, Chief Data & Technology Officer at FLG and Daniel Shah, Consulting Partner Director at Matillion.

Join this hands-on workshop and learn how to cut your time to insight, scale instantly, and enable all your users to analyze all your data using the only data warehouse built for the cloud. Learn how to set up a data warehouse in almost no time to get the data-driven insights your organization needs.

IMPORTANT: Due to space constraints, the Zero to Snowflake hands-on workshop will have limited availability.

Here’s what you will need for the sessions:

1. Sign up for a Snowflake trial account.
2. Pick up a sticker from the Zero to Snowflake booth granting you access to one of the sessions.
   • You must show your trial account activation email to retrieve a sticker.
   • Stickers are available on a first come, first served basis and are limited.
3. Arrive 15 minutes before your designated session and show your sticker.
4. Bring your laptop and charger.