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SNOWFLAKE DISCOVER

Discover the possibilities.
Explore your potential with The Data Cloud.

18 Sessions – Live – Virtual – APAC
30 May – 2 June

Register – AEST | NZST | SGT | HKT – Time Friendly Register – IST | SGT | HKT – Time Friendly                

WHAT TO EXPECT

Snowflake Discover is a free live online Data Cloud program designed to inform, share and explore what is possible with The Data Cloud. The content will outline local and global best-practice in all areas of data warehousing, data lakes, data engineering, data science, data applications and data sharing. Built for technical professionals at different stages of their familiarity with The Data Cloud, the event will explore Level 100, 200 and 300 topics via 18 unique distinct sessions with live Q&A incorporated.
 

WHAT YOU WILL EXPLORE & LEARN

  • How to Go from Zero to Data Warehouse
  • Data Sharing in Snowflake Marketplace
  • Data Governance and Cybersecurity with Snowflake
  • Data Engineering with Snowpark
  • Creating Data Clean Rooms and Getting Started with Pipelines
  • Building Applications on Snowflake
  • Getting Started with Snowsight
  • Optimising Your Snowflake Environment
  • End-to-End Machine Learning Modelling
  • Data Science on Snowpark for Python
  • Processing PII Data & Analysing Unstructured Data
  • Leveraging Snowflake for Data Lakes and Beyond

 

WHO SHOULD ATTEND

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

Don’t miss out on this live-only event

 

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
Session provide deep-dive exploration and understanding, designed for professionals familiar with the subject area, with or without direct implementation experience.

REGISTER

AEST | NZST | SGT TIME FRIENDLY

To register for IST | SGT Time Friendly click here.

AGENDA – AEST | NZST | SGT | HKT – Time Friendly

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

Monday 30 May

1:00PM AEST | 11:00AM SGT

Level 100 - Zero to Data Warehouse
セッション記述子

New to Snowflake? Wondering how hard it is to go from zero to a new level of scale and performance? Join in to learn how to navigate the Snowflake interface while introducing you to some of the core capabilities, the journey starts here!

2:00PM AEST | 12:00PM SGT

Level 100 - Data Sharing in the Snowflake Marketplace
セッション記述子

Snowflake’s Data Marketplace is a data goldmine that runs deep and wide, yet many of our demos are little more than catalog fly-overs with brief stops on the COVID and weather forecast datasets. Learn how to confidently show off Marketplace’s business value and turn low volume “data desert” accounts into high consumption Stable Edges!

3:30PM AEST | 1:30PM SGT

Level 200 - Data Engineering using Snowpark for Scala
セッション記述子

Using the Snowpark API, you can query and manipulate data by writing code that uses objects (like a DataFrame) rather than SQL statements. Snowpark is designed to make building complex data pipelines easy, allowing you to interact with Snowflake directly without moving data. When you use the Snowpark API, the library uploads and runs your code in Snowflake so that you don’t need to move the data to a separate system for processing.

4:30PM AEST | 2:30PM SGT

Level 200 - Using Snowflake for Cybersecurity
セッション記述子

The session begins with a review of pain points faced with legacy SIEM solutions and how Snowflake and security partners solve this problem. We will also explore different Cybersecurity Partners that further enhance your security and data needs built on Snowflake.

Tuesday 31 May

10:00AM AEST | 8:00AM SGT

Level 100 - Data Governance in Snowflake
セッション記述子

Join us for a deep dive into Snowflake Data Governance capabilities. You will learn how Snowflake Governance features map to CDMC controls. Additionally the deep dive will focus on newer features such as Anonymization, Classification and Lineage. Learn how these capabilities work through a practical lab and how they augment existing Snowflake data governance features.

11:00AM AEST | 9:00AM SGT

Level 100 - Getting Started with Pipelines
セッション記述子

Learn how to apply Snowflake features to build pipelines for various requirements. From acquisition to ingestion, modelling and information delivery – we are going to build a use case and talk about design options that should help you position Snowflake as a best platform for solving broad data engineering problems!

12:30PM AEST | 10:30AM SGT

Level 200 - Creating Data Clean Rooms
セッション記述子

Snowflake Data Clean Rooms enable multiple parties to answer questions about data while preventing drill down to PII, to overlap and join data without copying, moving or sharing the underlying data, and to perform these analyses on large amounts of data with high performance and scalability.


This lab will demonstrate how two parties can run analyses across Snowflake accounts, securely joining data on PII fields without revealing that PII to each other.

1:30PM AEST | 11:30AM SGT

Level 200 - Data Engineering with Snowflake
セッション記述子

Learn how to build an end to end data engineering pipeline within Snowflake using the latest features like Schema detection, unstructured data support, observability dashboard for ingestion, multi language support (Snowpark) for various developer persona within the team (SQL, Java, Python etc).

3:00PM AEST | 1:00PM SGT

Level 300 - Using Snowflake for an End to End Industry Solution - from Ingestion to Action
セッション記述子

We walk through a live Snowflake end to end solution of a real world industry example, harnessing 1100+ data sets available from the Data Marketplace. You will learn how build a real world solution and expose concepts that can be applied to any industry.

Our example solution for this walkthrough will be leveraging the Snowflake Data Cloud to produce risk scores that can be used by Healthcare teams to design targeted interventions across their user populations to improve health outcomes. This use case is focused on members with transportation risk factors specifically – being able to understand which members are at most risk of missing their appointment and also have transportation barriers.

Wednesday 1 June

10:00AM AEST | 8:00AM SGT

Level 100 - Getting Started with Snowsight
セッション記述子

Learn how to use Snowflake’s UI Snowsight to visualise trends, identify outliers and discover insights into your Snowflake data warehouse. In this session we will show you how to import worksheets from the classic console, organise into relevant groupings, chart trends and share data with your colleagues. We will also demo some of the relevant dashboard views, give you keyboard shortcuts to streamline setup and discuss various ways to optimise analytic views for you and your organisation.

11:00AM AEST | 9:00AM SGT

Level 100 - Building an Application on Snowflake
セッション記述子

Snowflake powers a huge variety of applications across many industries and use-cases. In this demo we will create a data application and API that uses Snowflake as its analytical engine. We will then load test against custom API endpoints and scale the backend both vertically and horizontally to see the impact. Finally, we will increase the API’s efficiency and performance using a materialization.

12:30PM AEST | 10:30AM SGT

Level 200 - Using Cross Cloud for Resiliency in Snowflake
セッション記述子

In this session we will demonstrate how to perform cross-cloud replication of account level objects such as users, roles, grants, warehouses. We will also discuss multiple databases and shares using the new replication group construct. We will also perform group failover and fail-back with client redirection to show how to achieve business continuity when a cloud region outage occurs.

1:30PM AEST | 11:30AM SGT

Level 200 - Optimising your Snowflake Environment
セッション記述子

You have the best data platform in the world, how can you keep it that way? In this sessions we look at key skills such as identifying areas in which performance can be improved and analysing workloads with poor performance causing excess consumption. We will also look at supporting data and usage growth by identifying warehouses that would benefit from scaling up or out from within Snowflake.

3:00PM AEST | 1:00PM SGT

Level 300 - Using Snowflake for an End to End Machine Learning Model with Jupyter Notebooks
セッション記述子

In this session we will dive deep into Snowpark Python for machine learning with time series. We will use s demo as a basis and start with a deep dive on how Snowpark simplifies exploratory data analysis as well as batch inference with UDFs. From there we will embark on a “choose your own adventure” series where participants will build MLops on top of the existing code for feature engineering pipelines, explainability and drift detection.

Thursday 2 June

12:30PM AEST | 10:30AM SGT

Level 100 - Snowflake for Data Lakes and Beyond
セッション記述子

Learn the benefit of using Snowflake for your Data Lake to simplify your cloud architecture. In this demo we will walk through how we store and process structured, semi-structured and unstructured data within your Data Lake using UDFs. We will also discuss the data governance required to proactively track and identify data dependencies to ensure views and analytics are supported through a trusted data source.

1:30PM AEST | 11:30AM SGT

Level 100 - Using Snowflake to Analyse Unstructured Data
セッション記述子

Processing unstructured data is difficult challenge for users with siloed data that traditionally relies on custom code to analyse data. Moreover, connecting unstructured data with structured content in meaningful ways is equally challenging for both administrators and data analytics teams. In this demo we will store and process unstructured data such as images, audio or video files using Snowflake. We will then build analytic dashboards using Snowsight focused on trends and insights of the sample unstructured data.

3:00PM AEST | 1:00PM SGT

Level 200 - Data Science using Snowpark for Python
セッション記述子

Using the Snowpark API, you can query and manipulate data by writing code that uses objects (like a DataFrame) rather than SQL statements. Snowpark is designed to make building complex data pipelines easy, allowing you to interact with Snowflake directly without moving data. When you use the Snowpark API, the library uploads and runs your code in Snowflake so that you don’t need to move the data to a separate system for processing.

4:00PM AEST | 2:00PM SGT

Level 200 - The Journey to Processing PII in the Data Cloud
セッション記述子

Explore how organisations have made their journey to processing PII in the Snowflake Data Cloud. What challenges did you face? What solutions did you use to overcome those challenges? And how does it look to use the Snowflake Data Cloud to process the world’s most valuable assets?

SPEAKERS

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

Wasim El-Omari is a Cyber Security Field CTO at Snowflake, he is based in Melbourne Australia, working in a Global Team focusing primarily on the APJ region. Wasim has more than 20 years of experience in Cyber Security. He has a background in Security Operations, Incident Response, Digital Forensics and Cloud Security. He has Bachelor’s Degree in Electrical Engineering in Telecommunications and a Master’s Degree in Information Security with a focused interest in Data Governance, Risk Management & Incident Handling.

His career has taken him globally to different regions and has worked with Fortune 100 companies and Federal Agencies to design, implement and validate effective security programs. He is focused on the Data Cloud at Snowflake and the security that it is intrinsically built for addressing digitization challenges. He is passionate about being able to help customers address their digital challenges in the Snowflake Data Cloud.

LinkedIn: https://www.linkedin.com/in/wasim-elomari/

Wasim El-Omari

Principal Architect, Security, Field CTO Office

Snowflake

Wasim El-Omari

Principal Architect, Security, Field CTO Office

Snowflake

Anthony is an experienced Data Warehouse Architect and Lead Data Engineer with experience in large scale implementations and managing global development teams in the retail and financial industries.

Passionate about Big Data and large scale data warehousing and extensive experience including ETL development, data quality standards, design and development, BI and Marketing visualisation tool integration across a number of vendor solutions. Anthony is based in Melbourne and supports Snowflake customers to realise the potential of their data in business.

LinkedIn: https://www.linkedin.com/in/anthony-schneider-50249320/

Anthony Schneider

Senior Sales Engineer

Snowflake

Anthony Schneider

Senior Sales Engineer

Snowflake

Blending 17+ years of Enterprise Data Management experience with Business Focus to get customers to be ready in the new Data Driven world to maximize the value of their data and gain actionable insights to fuel their business outcomes. Hands-on technology leader and process-driven professional with global experience spanning multiple verticals including Healthcare, Telecom and BFSI with key focus on Data Integration, Data Governance and Data Exchange.

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

Karthik Venkatraman

Senior Sales Engineer

Snowflake - Australia

Karthik Venkatraman

Senior Sales Engineer

Snowflake - Australia

Connect with me on LinkedIn

Having worked within the IT sector for the past 20+ years, across public (Local Government and Health) and private sectors (mining sector and IT Consulting) predominantly in providing database solutions (Snowflake, Oracle, MySQL, SQLServer). Particular areas of interest are data analysis and realising the potential that exists within the data that people are often already unknowingly sitting on. I love good data visualisation too!

Gary North

Senior Sales Engineer

Snowflake

Gary North

Senior Sales Engineer

Snowflake

At Snowflake Wessel de Meyer’s focus is working with organisations to get more value from their data assets. He has more than 20 years experience in Data Analytics working for vendors such as Informix, IBM and SAS in pre-sales and consulting roles to help organisations across industries with data and analytics solutions to solve key business problems.

LinkedIn: https://www.linkedin.com/in/wessel-de-meyer/

Wessel de Meyer

Sales Engineer

Snowflake - New Zealand

Wessel de Meyer

Sales Engineer

Snowflake - New Zealand

Somesh is a ‘born in the cloud’ specialist who developed a passion for data since completing his masters where he lives and works in Melbourne, Australia.

In his career he has expanded his knowledge with real world delivery in industries including big four financial services, retail, insurance along with digital native innovators. Now part of the Snowflake team he is a passionate technologist who delights customers by making problems that looked hard with data become simple.

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

Somesh Bahuguna

Senior Sales Engineer

Snowflake

Somesh Bahuguna

Senior Sales Engineer

Snowflake

Regan is a Principal Sales Engineer 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 - New Zealand

Regan Murphy

Principal Sales Engineer

Snowflake - New Zealand

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

Alex has an extensive background with Oracle Applications E-Business Suite DBA spanning thirteen years. Over this time he has had broad exposure to the Finance, Mining and Government sectors. An experienced EBS System implementer with skills in architecture, systems analysis and hands on development Alex now uses this experience with Snowflake customers to solve the hardest challenges with data.

Alex Lei

Senior Sales Engineer

Snowflake

Alex Lei

Senior Sales Engineer

Snowflake

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

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

Jie-Hong uses design thinking and an outside-in approach in helping organisations to ideate their digital transformations and data driven outcomes with a sustainable data strategy. Focused on Singapore Public Sector in helping public agencies with their mission, “Bringing data into the heart of digital government”.

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

Jie-Hong Lim

Senior Sales Engineer

Snowflake - Singapore

Jie-Hong Lim

Senior Sales Engineer

Snowflake - Singapore

Nic is a Platform Performance Specialist within the Office of the Field CTO at Snowflake, working with our customers to optimise their Snowflake use and drive high quality outcomes. Nic has been with Snowflake for two years, with ten years of experience in distributed systems, data management and business intelligence. When not working, Nic is probably walking his dog or playing hockey (poorly).

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

Nic Crouch

Architect, Data Performance, Field CTO Office

Snowflake

Nic Crouch

Architect, Data Performance, Field CTO Office

Snowflake

Sumeet Tandure is a Senior Manager, Sales Engineering at Snowflake and has been using his long experience in the industry to help Customers for their solve their toughest data requirements. He has a wide set of skills stretching across Data, Cloud, and Infrastructure technologies. He is a certified Architect on Snowflake Big Data technologies and an experienced presenter in the data domain. Passionate about data and based in Bangalore, he loves to learn and help customers in their data journey.

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

Sumeet Tandure

Senior Manager, Sales Engineering

Snowflake

Sumeet Tandure

Senior Manager, Sales Engineering

Snowflake

Connect with me on LinkedIn

Rishu has 18+ years of Information Technology experience in the solution design and architecture, strategic design of future data platforms and roadmaps, predominantly focused on data and Information Management – particularly cloud native data platforms and technologies, big data, analytics, Machine Learning, Business Intelligence capabilities, Data Management and Artificial Intelligence.

Rishu Saxena

Principal Architect, Machine Learning, Field CTO Office

Snowflake

Rishu Saxena

Principal Architect, Machine Learning, Field CTO Office

Snowflake

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