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Snowflake Inc.

SNOWDAY + DISCOVER

Explore your potential with The Data Cloud.

9 SESSIONS I LIVE – VIRTUAL
APAC I 8 & 9 NOVEMBER

Register – AEDT | NZDT – Time Friendly    
Register – IST | SGT | HKT – Time Friendly

WHAT TO EXPECT

The new era of development across data, applications, and AI. Don’t miss Snowday updates, Snowflake’s semi-annual product announcement release. Then, join Snowflake Discover, a free, live, online Data Cloud program designed to inform, share, and explore what is possible with The Data Cloud.

We’re excited to have Christian Kleinerman, SVP of Product, join us for a live Q&A session where he will share the latest advancements that continue to push the limits of what you can do with Snowflake. The content will cover local and global best practices and is designed for technical professionals at various stages of familiarity with The Data Cloud. The event will explore Level 100, 200, and 300 topics through 9 distinct and unique sessions.

Discover is a live, virtual enablement event designed to share and explore what is possible with The Data Cloud.

WHAT YOU WILL EXPLORE & LEARN

Day 1 – Wednesday 8 November
  • Opening Keynote, with Natalie Mead and Christian Kleinerman
  • Get Started: Snowflake Basics and Ingesting Data (Level 100)
  • Get Started: Snowpark Setup and Data Engineering (Level 100)
  • New Update: Getting Started with Generative AI and External Functions in Snowflake and Streamlit (Level 200)
  • New Update: Getting Started with Anomaly Detection & Forecasting with Machine Learning Powered Functions (MLPFs) (Level 200)
Day 2 – Thursday 9 November
  • In the Field: How to build a Data platform to enable ‘Brain’ with Spark NZ
  • New Update: A Preview into Iceberg Tables and Snowpark Container Services (Level 300)
  • New Update: Build a Native App with Snowflake (Level 300)
  • New Update: LLM & AI (Level 300)

 

1 & 2 November – SNOWDAY ANNOUCEMENTS
  • Find out more details on Snowday, our global bi-annual product release here

 

WHO SHOULD ATTEND

Snowday + Discover have been designed for individuals with limited to extensive experience using Snowflake who are looking to get-started of expanding their skill and confidence with the Data Cloud – including IT Managers, Data Architects, Engineers, Scientists, Administrators and Developers.

REGISTER

AEDT | NZDT | SGT TIME FRIENDLY

To register for IST | SGT | HKT Time Friendly click here

CONTENT LEVEL GUIDE

Level 100 - Introductory

Sessions provide a step-by-step overview of the topic, designed for professionals that are new to the subject area

Level 200 - Intermediate

Sessions provide technical deployment best-practice including demos, designed for professional that have an introductory understanding of the subject area

Level 300 - Advanced

Technical step-step deep-dive designed for professionals familiar with the subject area, with or without direct implementation experience

AGENDA – AEDT | NZDT – Time Friendly

For India (IST) | ASEAN (SGT) – Time Friendly – please click here.

SNOWDAY + DISCOVER - DAY 1
Wednesday 8 November

10:00 AM AEDT | 12:00 PM NZDT

Opening Keynote, with Natalie Mead and Christian Kleinerman

セッション記述子

A Discover first! Join Natalie Mead and special guest Christian Kleinerman (SVP Product, Snowflake) as they explore the latest in the Data Cloud platform. Data, Apps and AI Collaboration have all seen significant innovation and we take a walk through some of the highlights. This is a chance to meet Christian live, and as owner of the team that creates Snowflake’s products don’t miss this chance to hear the capabilities and vision from the source!

11:00 AM AEDT | 1:00 PM NZDT

Get Started: Snowflake Basics and Ingesting Data (Level 100)

セッション記述子

The Data Cloud platform has an incredible amount of capability and many sessions today feature these. If you are brand new to Snowflake and wondering how to get started, this session is for you. In a live walkthrough will give you an understanding of navigating the Snowflake interface, creating a warehouse, ingesting data, simple scaling and more. Zero to Snowflake Hero in one hour!

12:00 PM AEDT | 2:00 PM NZDT

Get Started: Snowpark Setup and Data Engineering (Level 100)
セッション記述子

Data and analytics practitioners struggle with siloed and diverse data, performance degradation over time, exacerbated by operating and maintaining complex pipelines and architecture. In this session we will walk you through the Data Engineering workload on Snowflake to improve the reliability of your pipelines, understand how you can speed data transformation using streams and tasks, get granular control over data accessibility and security challenges, and much more.

1:00 PM AEDT | 3:00 PM NZDT

New Update: Getting Started with Generative AI and External Functions in Snowflake and Streamlit (Level 200)
セッション記述子

Time to dig into some of the latest capabilities on Snowflake! By completing this session, you will be understand deploying different implementations of integrating Large Language Models (LLMs) such as OpenAI using External Access and External Functions in Snowflake. In this implementation, we will use External Access to securely connect to the OpenAI API from Snowpark, the set of libraries and runtimes in Snowflake that run non-SQL code, including Python, Java and Scala. External Access provides flexibility to reach public internet endpoints from the Snowpark sandbox without any additional infrastructure setup.

2:00 PM AEDT | 4:00 PM NZDT

New Update: Getting Started with Anomaly Detection & Forecasting with Machine Learning Powered Functions (MLPFs) (Level 200)
セッション記述子

One of the most critical activities that a Data/Business Analyst has to perform is to produce recommendations to their business stakeholders based upon the insights they have gleaned from their data. In practice, the are a number of impediments that prevent creating the best model possible. Snowflake developed Machine Learning Powered Functions (MLPFs) which are a set of SQL functions that implement machine learning models on the user’s behalf. In this session we look at three MLPF’s so assist in Forecasting, Anomaly Detection and also Contribution Explorer.

SNOWDAY + DISCOVER - DAY 2
Thursday 9 November

10:00 AM AEDT | 12:00 PM NZDT

In the Field: How to build a Data platform to enable ‘Brain’ with Spark NZ

セッション記述子

Brain is a next best actioning engine (NBA) that Spark NZ has created to improve campaign effectiveness and efficiency using AI and machine learning. But what does it take to provide the right data, secured, and protected to enable this type of service? Join Vijay Srinivasan, Chapter Lead – Cloud Engineering as he walks through live demos of focusing on key areas of his Snowflake environment. If you’re a Data Engineer or Data platform admin this session is not to be missed.

 

11:00 AM AEDT | 1:00 PM NZDT

New Update: A Preview into Iceberg Tables and Snowpark Container Services (Level 300)
セッション記述子

This session is all about flexibility, first we look at Iceberg tables and the latest enhancements powering open standards in the data cloud.
Next, we look at the latest platform innovation Snowpack Container services – its enabling developers to new ways to work and build with data.

12:30 PM AEDT | 2:30 PM NZDT

New Update: Build a Native App with Snowflake (Level 300)
セッション記述子

In this session you will get up and running with developing your first Snowflake Native Application! Snowflake Native Applications provide developers a way to package applications for consumption by other Snowflake users. The Snowflake Marketplace is a central place for Snowflake users to discover and install Snowflake Native Applications. In this example we will be building a Snowflake Native Application used for inventory and supply chain management to introduce you to the latest capability of the Data Cloud.

2:00 PM AEDT | 4:00 PM NZDT

New Update: LLM & AI (Level 300)

セッション記述子

Join this session to understand the history of Large Language Models and gain a technical understanding of what embeddings are, how fine-tuning works, and more. By the end you will have a practical understanding of core technical concepts as well as take part in demos that will help you see Generative AI technologies you can use in Snowflake.

SPEAKERS

Christian Kleinerman

Senior Vice President of Product

Snowflake

Christian Kleinerman

Senior Vice President of Product

Snowflake

Connect with me on LinkedIn

Natalie Mead has focused on building technical go to market data strategies at a global level for over 25 years. She helps companies extend their technical focus from features and details into large scale business solutions to drive material organization changes.

Currently, Natalie is the Vice President of the APJ Sales Engineering team at Snowflake where her team builds architectures around the Snowflake Data Cloud. Her focus ranges from Data Science, Data Engineering, Applications to Data Collaboration and Snowflake Marketplace Solutions.

Previously, Natalie was the Senior Director of the Global Field CTO Office at Snowflake, where she oversaw the programming and vision of Principal Architects in security and workload platforms within the Sales Engineering organization. She and her team focused on driving early vision and adoptions of the Snowflake Products and Engineering roadmap to the field and end users for a complete, actionable view of the Snowflake Data Cloud.

Natalie Mead

VP, Sales Engineering

Snowflake

Natalie Mead

VP, Sales Engineering

Snowflake

Vijay Srinivasan

Chapter Lead Cloud Engineering

Spark New Zealand

Vijay Srinivasan

Chapter Lead Cloud Engineering

Spark New Zealand

Connect with me on LinkedIn

Marko is a Principal Sales Engineer at Snowflake who brings years of experience working with customers across multiple disciplines including data integration, data platforms and data science. With industry experience spanning the telecommunications, banking, and retail sectors Marko now assists clients in their journey as data driven businesses.

Marko Slabak

Principal Sales Engineer

Snowflake

Marko Slabak

Principal Sales Engineer

Snowflake

Regan is a Senior Sales Engineering Manager at Snowflake, The Data Cloud. Regan built his first Data Warehouse over twenty years ago, and has worked with many customers across the globe to architect and implement streaming, big data, and modern data warehouse solutions both on-premises and in the cloud. Prior to Snowflake, Regan spent several years with Microsoft, with the latter spent working on modern data architectures with some of Microsoft’s largest customers across the globe.

LinkedIn: https://www.linkedin.com/in/rmurphy/

Regan Murphy

Principal Sales Engineer

Snowflake

Regan Murphy

Principal Sales Engineer

Snowflake

Venkat Suru

Principal Data Platform Architect, Field CTO Office

Snowflake

Venkat Suru

Principal Data Platform Architect, Field CTO Office

Snowflake

Connect with me on LinkedIn

Adrian is a Principal Sales Engineer based in Singapore working with enterprise customers in the financial services sector as well as high tech ‘digital natives’ across ASEAN. Adrian diligently works with customers to ensure that they see success in Snowflake’s Data Cloud from the initial architecture and design all the way to their go-live.

Adrian likes to combine DevOps practices with data and is recognised for the technical materials he produces integrating DevOps tooling and practices with Snowflake. Adrian is also highly passionate about learning and sharing all things data and cloud and has expanded his knowledge to a variety of solution stacks including Redshift, BigQuery, Redis and Kafka.

Adrian Lee

Manager, Solution Engineering

Snowflake

Adrian Lee

Manager, Solution Engineering

Snowflake

Connect with me on LinkedIn

Tim Buchhorn

Field CTO, APJ

Snowflake

Tim Buchhorn

Field CTO, APJ

Snowflake

Sean is a Senior Sales Engineer based in Australia with over 10 years of experience in the data industry, with deep technical experience in Data Engineering, Data Science and Data Architectures. As a trusted advisor, Sean has closely worked with a wide variety of start-ups and enterprise customers to ensure the success of their Snowflake AI Data Cloud journey, by drawing from his experience as well as evangelising cutting edge technology and innovations through constant self-learning and application.

LinkedIn: https://www.linkedin.com/in/seankim6/

Sean Kim

Senior Sales Engineer

Snowflake

Sean Kim

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Experienced Data Science professional with strong technical skills. Demonstrated history of driving engagement and projects in Financial Services, eCommerce industry. Detail-oriented specialist with outgoing personality. Motivated by the potential of technology to drive changes to people’s lives.

Day to day work involves stakeholder management, problem definition and framing, solution design, data transformation and preparation, and occasionally some machine learning.
Interested in domain of Data Science, Data Engineering, Architecture and Solutions

Changboon Heng

Senior Sales Engineer

Snowflake

Changboon Heng

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Based in Sydney, Chuang Zhu is an experienced Solutions Engineer with a demonstrated history of working in the information technology and services industry. With strong engineering and presales skills he has a broad exposure to Cloud Technologies, IoT, Integration, Databases, Data Warehousing, Business Intelligence, SQL, Architecture, Machine Learning, AI and Advanced Analytics.

Chuang Zhu

Senior Sales Engineer

Snowflake

Chuang Zhu

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

David has spent over 20 years as a market specialist and business leader throughout the broad Asia Pacific and Japan regions. With a background as business leader and Chief Technologist he has been instrumental in defining and building software categories previously. He is now focused on the enormous opportunity the data cloud brings to business in Asia and helping evangelise the technical and business fundamentals to the broad community.

David Wakeman

Director, Product Marketing and Evangelist

Snowflake

David Wakeman

Director, Product Marketing and Evangelist

Snowflake

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