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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 – IST | SGT | HKT – Time Friendly   
Register – AEDT | NZDT – 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: Hear from Graas and MindTickle
  • 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 on November 1 & 2 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

IST | SGT | HKT TIME FRIENDLY

To register for AEDT | NZDT 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 – IST | SGT | HKT – Time Friendly

For Australia (AEDT) | New Zealand (NZDT) – Time Friendly – please click here.

SNOWDAY + DISCOVER - DAY 1
Wednesday 8 November

10:00 AM IST | 12:30 PM SGT

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 IST | 1:30 PM SGT

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 IST | 2:30 PM SGT

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 IST | 3:30 PM SGT

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 IST | 4:30 PM SGT

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 IST | 12:30 PM SGT

In the Field: Hear from Graas on Elevating Multi-Tenant Data Management: Embracing the Multi-Tenant Table (MTT) Paradigm with Snowflake

セッション記述子

In the era of data-driven business, the design of your data architecture is paramount. In this session we will explore the transition from the Object Per Tenant (OPT) design pattern to the Multi Tenant Table (MTT) design pattern within the context of the data platform built on Snowflake for a SaaS product. The OPT approach, while initially was useful, posed challenges as businesses scale, leading to increased complexity and costs. In contrast, MTT offers a streamlined, cost-effective, and scalable solution for multi-tenant data management. In this session, we will explore the benefits of multi-tenancy, such as scalability, and talk about how it helped manage costs, making maintenance easier, improved query performance, and data isolation.

10:30 AM IST | 1:00 PM SGT

In the Field: Decentralising Data: Building Data Mesh at Mindtickle using Snowflake
セッション記述子

In the modern data-driven landscape, organizations face a growing challenge to manage, analyze, and share data efficiently. Mindtickle, like many others, recognized the limitations of a centralized data platform and sought a more scalable and decentralized approach towards managing and processing data.
Have you ever wondered what it takes to revamp an entire organization’s data infrastructure? Join us as we take you through this journey of transformation.
In this session, we will take a look at the unique data-processing challenges that we face at Mindtickle with our current architecture and discuss how we plan to overcome them by creating a decentralised, domain-driven Data Mesh Architecture using Snowflake. Let’s deep dive on how the future of data management is being reshaped at Mindtickle!

11:00 AM IST | 1:30 PM SGT

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 IST | 3:00 PM SGT

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 IST | 4:30 PM SGT

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

Graas provides a SaaS platform that uses predictive AI to scale revenue and drive profitable growth for eCommerce businesses. Himanshu leads data engineering and data analytics teams at Graas. He is responsible for defining data strategies and building data platforms at Graas that includes modeling, integrating, standardising data for the end user consumption. Himanshu has also taken up initiatives around ML, ML Ops and Gen AI which are helping in generating growth recommendations for the customers. Himanshu has over 20 years of experience in designing, developing, and delivering innovative data platforms and products. Himanshu is currently working as Vice-President for Data Engineering at Graas. Himanshu holds a Masters in Computer Applications from Indore University.

Himanshu Shrotri

Head of Engineering Growth Platform

Graas

Himanshu Shrotri

Head of Engineering Growth Platform

Graas

Dhaval Bonde

Engineering Leader and Data Platform Architect

MindTickle

Dhaval Bonde

Engineering Leader and Data Platform Architect

MindTickle

Prashant Wate is a Senior Sales Engineer in Snowflake Inc. He has more than 20 years of experience in IT solutions development, architecture, database design, big data solutioning and technology consulting. Worked in various business verticals like BFSI, Manufacturing, Energy & Utilities, Retail & CPG, Telecom

LinkedIn: https://www.linkedin.com/in/prashant-wate-4249a822/

Prashant Wate

Senior Sales Engineer

Snowflake

Prashant Wate

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

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.

Sarita Priyadarshini

Senior Sales Engineer

Snowflake

Sarita Priyadarshini

Senior Sales Engineer

Snowflake

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

Ritabrata Saha

Senior Data Cloud Architect - GSI Partners

Snowflake

Ritabrata Saha

Senior Data Cloud Architect - GSI Partners

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

LinkedIn: https://www.linkedin.com/in/phani-raj-9830a31b/

Phani Raj

Senior Data Cloud Architect – GSI Partners

Snowflake

Phani Raj

Senior Data Cloud Architect – GSI Partners

Snowflake

Connect with me on LinkedIn

Evangelist for Snowflake in India where I help all walks of the business understand and harness the power of the Data Cloud, drive GTM, analyst/influencer relations and build communities.

Worked as a data scientist, product owner, program manager, industry analyst and a trusted advisor in the past with more than a decade of experience working with Fortune 1000 companies, guiding them on their mission critical priorities around AI Strategy, Governance, Risk Management, end-to-end program delivery, standardisation and automation.

I’ve helped clients save over $100mn over the course of my career after working on a multitude of projects in RPA, data labeling and annotation, autonomous driving, insurance fraud, environmental monitoring, MLOps, Responsible AI, AI for Good and AI platform negotiations. I’ve provided strategic services to clients across supply chain, pharmaceuticals, healthcare, defense and intelligence, banking and financial services, transportation, law enforcement, e-commerce, legal and several government and quasi-government organizations.

Here’s a quick summary of my career:

– Worked with over 500 clients (investors, vendors and end-user clients) in a consulting, program management and advisory capacity
– Advised over 1000 CIO’s, CDO’s, CDAO’s on their most urgent priorities in AI, share insights and best practices from their peers reducing time to value by up to 10x
– Authored several Gartner Research papers (including Magic Quadrants, Critical Capabilities, Hype Cycle, Cool Vendors), created two Gartner research products – Use-Case Prism as a result of cross-functional collaboration of over 50 teams and Buyers’ Selection Spotlight.
– Product designer, event and keynote speaker, and a contributor to open-source

With the diverse experience I have, I’m on a mission to help organisations on their technology priorities.

Farhan Choudhary

Senior Product Marketing Manager and Evangelism

Snowflake

Farhan Choudhary

Senior Product Marketing Manager and Evangelism

Snowflake

Connect with me on LinkedIn

Pawan Mall

Senior Sales Engineer

Snowflake

Pawan Mall

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Sachin Gangwar

Senior Sales Engineer

Snowflake

Sachin Gangwar

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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