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WORKLOAD SERIES – PART III

SNOWFLAKE DISCOVER

APPLICATIONS + COLLABORATION

One Platform. Multiple Workloads.
2 Workloads – 12 Sessions – Live – Virtual
June 14 & 15

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

WHAT TO EXPECT

Snowflake Discover – Workload Series (Part 3) will deliver a deep-dive into Snowflake for Applications and Collaboration. Discover is a live, virtual enablement event designed to share and explore what is possible with The Data Cloud. This edition will develop your expertise and allow you to develop data-intensive applications and securely collaborate across organisations and functions via 30-minute what/why and 60-minute step-by-step technical sessions. Built for technical professionals at different levels of expertise, the event will deliver an end-end immersive experience via 6 subject areas, 12 unique sessions and live Q&A.
 

WHAT YOU WILL EXPLORE & LEARN

  • Build Managed, Connected, Native Apps – App Deployment Model 101
  • Create the Snowflake Database for a Data Application
  • Getting Connected – API’s and Snowflake
  • Zero to App – Connecting and Service Applications Deep-dive
  • Building Front-ends and Visualisations in Snowflake
  • Collaboration 101
  • Data Enrichment and End-end Clean Rooms
  • Secure Data Collaboration vs Clean Room
  • End to End Data Clean Room Demonstration
  • Monetising Your Data and Becoming a Provider in 60 minutes

 

WHO SHOULD ATTEND

Snowflake Discover has 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

AEST | NZST | SGT TIME FRIENDLY

To register for IST | SGT 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 – AEST | NZST | SGT | HKT – TIME FRIENDLY

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

                            WEDNESDAY 14 JUNE
Designing Applications For Scale

10:00 AM AEST | 12:00 PM NZST

Level 100 - Managed, Connected, Native - App Deployment Model 101
Session Descriptor

This session will give you direction on when you should build a managed app, a connected app or a native app. We will look at the foundational concepts and architecture when designing applications on Snowflake.

In the upcoming sessions app developers will understand the context behind emerging design patterns in data apps. Learn where Snowflake can play a part in your application strategy and practically demonstrate those with our lab walkthroughs.

10:30 AM AEST | 12:30 PM NZST

Level 200 - Zero to App - Creating the Snowflake Database for a Data Application
Session Descriptor

Data Applications powered by a Snowflake database can be built to support large scale analytical queries and data processing directly in Snowflake. This lab goes through how to prepare the data, set up the structure and prepare users and access permissions.

We also add a quick prototype of the application, build in Streamlit, that can directly connect to the data, and verify the content and the visualisations.

API Considerations For
Applications On Snowflake

11:30 AM AEST | 1:30 PM NZST

Level 100 - Let’s Get Connected! API's and Snowflake
Session Descriptor

When your API connects to Snowflake, what are the things you need to consider? How should you connect to Snowflake, what languages are supported, drivers? Does it matter? Security is a key topic as well so what are your options for connecting your API to Snowflake?

This session answers these questions and more.

12:00 PM AEST | 2:00 PM NZST

Level 200 - Zero to App - Connecting and Service Applications from an API's
Session Descriptor

By building well structured APIs and backends that connect to the data we can control both access and how the data is served to user facing applications, like a web or a mobile application.

This lab walks through setting up a basic API backend in Node.js that securely connects to the Snowflake database, and allows external users connect to the API to request data through the defined endpoint.

Supporting Your Frontend
Production App

1:00 PM AEST | 3:00 PM NZST

Level 200 - Seeing is Believing, Building Frontends

Session Descriptor

You have valuable data stored in Snowflake and an API that connects to that data. Let’s now talk about building a frontend that uses the API to deliver responsive, informative visualisations.

1:30 PM AEST | 3:30 PM NZST

Level 200 - Zero to App - Building Frontends and Visualisations in Snowflake
Session Descriptor

In the final lab we build a supporting frontend for your application that will connect to the API, using its authentication. You will learn how to serve the data in the form of interactive, responsive and informative visualisations.

                            THURSDAY 15 JUNE
Marketplace 101

10:00 AM AEST | 12:00 PM NZST

Level 100 - Collaboration 101

Session Descriptor

Snowflake collaboration can take on many forms…from public data sets on the marketplace to private exchanges to data cleanroom.

In this introduction session, we will discuss the various options with data collaboration and how you can utilise them for your core data needs all the way to monetisation via marketplace.

10:30 AM AEST | 12:30 PM NZST

Level 100 - Enriching your Data with Collaboration

Session Descriptor

In this session we will walk through how to Access the Snowflake Marketplace and acquire Live Weather Source Data in your Account. We will then show you how to create a View, a SQL Function and how to leverage Snowsight Charts to Explore Visual Insights. By the end of the session you will have a solid foundation of collaboration in action with Snowflake.

Data Clean Rooms

11:30 AM AEST | 1:30 PM NZST

Level 200 - Secure Data Collaboration vs Clean Room
Session Descriptor

Collaboration between companies is incredibly easy within Snowflake. Trusted partners can use Snowflake Secure Data Sharing for fast, easy, and secure collaboration. However, when users begin collaborating on sensitive and/or regulated data, the risk of collaborating on that data is high, and one should consider using a data clean room.

In this session we will discuss when to use either solution and how to set your company up for collaboration success

12:00 PM AEST | 2:00 PM NZST

Level 200 - End to End Data Clean Room Demonstration
Session Descriptor

Now that you understand the basics of collaboration, in this session you will watch one of our experts walk through a live demonstration of how to set up Data Clean Rooms in snowflake between two companies. We will highlight key considerations, tips and best practice to securely collaborate with data.

Enriching Your App With Data From Snowflake Marketplace

1:00 PM AEST | 3:00 PM NZST

Level 100 - Provider Basics, Monetising Your Data

Session Descriptor

Becoming a provider of listings in Snowflake makes it easier to manage sharing from your account to other Snowflake accounts.

In this session we will discuss sharing your data as a provider, monitoring usage of the listings and associated data shares and products, creating one or more provider profiles to manage your professional presence with consumers and charging consumers for access to listings within Snowflake.

1:30 PM AEST | 3:30 PM NZST

Level 200 - Become a Provider in 60 Minutes

Session Descriptor

In this session we will walk through the details of setting up your data listings as a provider on the Snowflake Marketplace. We will take you through the setup process for your profile and listings including how to use our go to market assets.

PRESENTERS + Q&A EXPERTS

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

Regan Murphy

Principal Sales Engineer

Snowflake

Adrian is a Senior 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.

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

Adrian Lee

Senior Sales Engineer

Snowflake - Singapore

Adrian Lee

Senior Sales Engineer

Snowflake - Singapore

Experienced data professional with strong technical skills from analysis, consultancy, architecture and data science. Sarita has a demonstrated history of driving engagement and projects in the Financial Services and eCommerce industries. A 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.

LinkedIn: https://www.linkedin.com/in/sarita-priyadarshini/

Sarita Priyadarshini

Senior Sales Engineer

Snowflake - India

Sarita Priyadarshini

Senior Sales Engineer

Snowflake - India

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

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

Changboon Heng

Sales Engineer

Snowflake - Singapore

Changboon Heng

Sales Engineer

Snowflake - Singapore

Prashant Yadav

Field CTO | Principal Architect, Data Engineering

Snowflake

Prashant Yadav

Field CTO | Principal Architect, Data Engineering

Snowflake

Marko is a Solution 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.

LinkedIn: https://www.linkedin.com/in/marko-slabak-70366829/

Marko Slabak

Senior Sales Engineer

Snowflake

Marko Slabak

Senior Sales Engineer

Snowflake

Tim Buchhorn

Senior Sales Engineer

Snowflake

Tim Buchhorn

Senior Sales Engineer

Snowflake

Majid Miri

Senior Sales Engineer

Snowflake

Majid Miri

Senior Sales Engineer

Snowflake

Stephen Ermann

Senior Sales Engineer

Snowflake

Stephen Ermann

Senior Sales Engineer

Snowflake

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.

LinkedIn: https://www.linkedin.com/in/rishu-saxena/

Rishu Saxena

Field CTO | Data Platform Architect

Snowflake

Rishu Saxena

Field CTO | Data Platform Architect

Snowflake

Ron Dunn is a Principal SE with Snowflake. He has more than 35 years of experience in data warehousing and analytics, across multiple countries, industries and platforms. Experienced in multiple data warehouse methodologies and architectures, Ron’s main interests are data engineering and performance.

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

Ron Dunn

Principal Sales Engineer

Snowflake

Ron Dunn

Principal Sales Engineer

Snowflake

 

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