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[BUILD]

The Dev Conference for AI and Apps

BEST OF BUILD

APAC | Live – Virtual
16 Sessions | 9 – 12 December

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

WHAT TO EXPECT

Join us online from December 9-12 for APAC’s exclusive “Best of BUILD” edition, showcasing the latest and greatest innovations highlighted at our global BUILD Dev Conference for AI and Apps. Dive into Snowflake’s regionally available advancements and experience hands-on labs and technical “how-to” sessions designed to empower you to:

  • Build natural language interfaces for enterprise data and apps
  • Fine-tune models with private enterprise data
  • Deploy and monetize your enterprise solutions

WHAT YOU WILL EXPLORE & LEARN

DAY 1 – MONDAY 9 DecEMber
10:00 AM AEDT | 12:00 PM NZDT I 7:00 AM SGT
  • Virtual Hands-on Lab: From Zero to Snowflake in 90 minutes
  • Virtual Hands-on Lab: From Zero Security to Snowflake Horizon in 90 minutes
  • Virtual Hands-on Lab: From Zero to Streamlit in 90 minutes
  • Virtual Hands-on Lab: From Zero to Snowflake Notebooks in 90 minutes
  • Virtual Hands-on Lab: From Zero To GenAI in 90 minutes
DAY 2 – TUESDAY 10 DECember
10:00 AM AEDT | 12:00 PM NZDT I 7:00 AM SGT
  • Opening Keynote
  • LLM Avalanche – Riding the Wave with Snowflake Cortex for Developers
  • Bootstrapping Apache Polaris (Incubating) for an Interoperable, Governed Lakehouse
  • Enterprise-Ready pandas for Snowflake
DAY 3 – WEDNESDAY 11 december
10:00 AM AEDT | 12:00 PM NZDT I 7:00 AM SGT
  • A Python Data Engineer’s Journey with Snowflake – From Ingestion, Transformation to Operationalization
  • Preparing Your Data for an Efficient RAG Chatbot Within Your Organisation
  • Snowflake Trail – Best Practices for Pipeline and App Observability
  • Accelerate Development and Productivity with Snowflake DevOps
DAY 4 – THURSDAY 12 december
10:00 AM AEDT | 12:00 PM NZDT I 7:00 AM SGT
  • Working with Snowflake Connectors
  • Building Enterprise-Grade AI Apps
  • Build a Cine_Bot with the Snowflake Native App Framework and Snowflake Cortex Search in 30 min

WHY ATTEND APAC BEST OF BUILD?

This virtual, live, 4-day event offers 16 unique sessions delivered by technical experts across APAC, tailored for all experience levels with both Level 100 and 200 content. Don’t miss this chance to elevate your enterprise data skills, connect with like-minded professionals, and learn directly from the Snowflake community.

REGISTER

AEDT | NZDT | SGT | HKT (AM) TIME FRIENDLY

To register for IST I SGT I HKT (PM) 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 offer technical deployment best practices, including demos and hands-on labs, designed for professionals with an introductory understanding of the subject area

AGENDA – AEDT | NZDT | SGT I HKT (AM) – TIME FRIENDLY

For IST I SGT I HKT (PM) – Time Friendly – please click here.

9 December 2024

10:00 AM AEDT | 12:00 PM NZDT

Level 100 - VHOL - From Zero to Snowflake in 90 minutes


Session Descriptor

Join us for a live guided tour of key functionality in Snowflake. An instructor will walk you step-by-step through how to get started with sample code and data using the free trial. You can follow along and get your questions answered in real-time.

 

11:30 AM AEDT | 1:30 PM NZDT

Level 100 - VHOL - From Zero Security to Snowflake Horizon in 90 minutes


Session Descriptor

Delve into the comprehensive governance model of Snowflake, exploring essential components such as masking policies, roles, access control, and privileges that ensure data security and compliance. Learn how these governance features work together to create a robust framework for managing and protecting your data assets within the Snowflake ecosystem. Discover how Horizon, Snowflake’s governance solution, seamlessly integrates with every aspect of your Snowflake experience, providing consistent oversight and control across all your data operations.

1:00 PM AEDT | 3:00 PM NZDT

Level 100 - VHOL - From Zero to Streamlit in 90 minutes


Session Descriptor

Discover Streamlit, a powerful tool for creating interactive data applications with ease. Learn how to install and get started with Streamlit, then dive into its capabilities for visualizing and editing data, all while exploring its diverse features. This session will guide you through the process of leveraging Streamlit to transform your data projects, culminating in an introduction to Streamlit-in-Snowflake (SiS) for seamless integration with your Snowflake environment.

2:30 PM AEDT | 4:30 PM NZDT

Level 100 - VHOL - From Zero to Snowflake Notebooks in 90 minutes

Session Descriptor

Are you a Python data engineer and just prefer to build with Python? Snowflake has introduced Snowpark — a set of libraries and code execution environments that run Python and other programming languages directly in Snowflake without the need to move your data. Now with a set of newly available capabilities, you can build an end-to-end data pipeline in Python with Snowflake to not only build, but schedule, deploy, monitor and operationalize your Python pipelines.

Join this instructor-led virtual hands-on lab to learn how to build an end-to-end pipeline using Snowflake pandas API, scheduling it with Serverless Tasks, all in Snowflake Notebooks.

4:00 PM AEDT | 6:00 PM NZDT

Level 100 - VHOL - From Zero To GenAI in 90 minutes
Session Descriptor

Despite foundational LLMs’ requiring extensive training, their knowledge base is outdated and lacks information that is protected inside the enterprise. To address hallucinations that LLMs may have from unseen information, retrieval augmented generation (RAG) is a cost-effective strategy that teams can use to build chatbots on top of an enterprise knowledge base. Snowflake Cortex Search provides a low-latency, high-quality “fuzzy” search that empowers your RAG apps.

In this session we will show you how to easily and securely build your own AI apps.

10 December 2024

10:00 AM AEDT | 12:00 PM NZDT

Opening Keynote



Session Descriptor

11:00 AM AEDT | 1:00 PM NZDT

Level 100 - LLM Avalanche - Riding the Wave with Snowflake Cortex for Developers

Session Descriptor

Explore how developers can leverage Snowflake Cortex to build and scale applications using large language models (LLMs). Learn how to integrate LLMs seamlessly into your data workflows and applications, unlocking new AI-driven capabilities. We uncover Cortex Analyst, Cortex Search, Document AI, Data and Model governance to kick start your Cortex journey.

12:00 PM AEDT | 2:00 PM NZDT

Level 100 - Bootstrapping Apache Polaris (Incubating) for an Interoperable, Governed Lakehouse

Session Descriptor

Apache Iceberg is the industry’s open standard for enabling interoperability in a lakehouse. However, security can be painful to implement in a multi-engine or multi-catalog architecture. Join this session to learn about how Apache Polaris (Incubating) aims to solve this problem in an open source, vendor-neutral way. We will dive into the benefits of Iceberg’s REST API along with the implementation of Polaris’ authorization APIs and credential vending for Amazon S3, Google Cloud Storage, and Microsoft Azure.

1:00 PM AEDT | 3:00 PM NZDT

Level 100 - Enterprise-Ready pandas for Snowflake

Session Descriptor

Learn how to harness the power of pandas in enterprise environments with Snowflake. Discover how to efficiently manipulate, analyze, and transform large datasets using pandas, while seamlessly integrating with Snowflake’s platform. Gain practical insights and best practices including Usage, Constraints, Modin Open Source and more!

10:00 AM AEDT | 12:00 PM NZDT

Opening Keynote



Join us as we recap the global BUILD event, share our vision for the AI Data Cloud, and highlight the announcements of exciting new products. Over the course of four days, you’ll witness these innovations in action through live demos and hear directly from the developers behind them

11 December 2024

10:00 AM AEDT | 12:00 PM NZDT

Level 100 - A Python Data Engineer’s Journey with Snowflake - From Ingestion, Transformation to Operationalization
Session Descriptor

Address an end to end Python pipeline scenarios with latest improvements on building data ingestion with Snowpark Private Link, transformations with Snowpark pandas and Serverless Tasks for Python

11:00 AM AEDT | 1:00 PM NZDT

Level 100 - Preparing Your Data for an Efficient RAG Chatbot Within Your Organisation

Session Descriptor

During this session, we will share different techniques we’ve developed to clean and prepare the internal documents used by the Employee Assistant RAG Chatbot created at Snowflake. We will explain how we are able to incorporate images, tables, hyperlinks, and PDFs into the knowledge space used by our bot and how it allows us to generate a multimodal response that can contain pictures or diagrams.

12:00 PM AEDT | 2:00 PM NZDT

Level 200 - Snowflake Trail - Best Practices for Pipeline and App Observability

Session Descriptor

Observability shouldn’t be an afterthought. Join this session to learn the latest observability features for data engineers and app developers now coming to Snowflake. You will learn how you can better monitor, diagnose and troubleshoot, and gain insight into your apps, pipelines and compute.

1:00 PM AEDT | 3:00 PM NZDT

Level 100 - Accelerate Development and Productivity with Snowflake DevOps
Session Descriptor

Drowning in complex workflows for data engineering and application development? Snowflake DevOps capabilities is a git pull from chaos. It’s a comprehensive set of integrated tools and methodologies designed to accelerate productivity for data teams, whether wrangling massive datasets or crafting data-driven applications.

Join this session to learn new simplified workflow including:

• Git integration: Collaborate seamlessly across data and app teams
• Python APIs: Automate complex data pipelines and app logic with ease
• Declarative object management: Manage data structures and app components as code
• CI/CD automation: Deploy data pipelines and applications with confidence

Snowflake Devops is about transforming your entire development lifecycle. Join us to learn how you can speed up your development cycles, ensure data integrity, and ship robust data-driven applications faster than ever.

12 December 2024

10:00 AM AEDT | 12:00 PM NZDT

Level 100 - Working with Snowflake Connectors


Session Descriptor

Join us an insightful dive into Snowflake’s data connectors and learn how to seamlessly integrate diverse data sources into Snowflake’s platform. We will look at an overview of connector options, real world use cases of data integration, best practice for data access.

11:00 AM AEDT | 1:00 PM NZDT

Level 200 - Building Enterprise-Grade AI Apps with Snowflake Native Apps using Snowpark Container Services
Session Descriptor

Learn how highly complex, production level apps can be built at Snowflake with its application platform capabilities. Hear directly from Kumo AI about how they built an advanced predictive AI application using Snowflake Native Apps and Snowpark Container Services. Kumo’s app creates accurate predictive models in hours by integrating multiple containers across multiple Snowflake tables.

This session will demonstrate how powerful Snowflake Native Apps simplify the end-to-end process, accelerates time-to-value, and ensures sensitive data remains secure within the user’s Snowflake environment.

12:00 PM AEDT | 2:00 PM NZDT

Level 200 - Build a Cine_Bot with the Snowflake Native App Framework and Snowflake Cortex Search in 30 min
Session Descriptor

Join this session to build a Snowflake Native App that delivers personalized, real-time movie recommendations from semi-structured data using Snowflake Cortex functions. You will set up a Retrieval-Augmented Generation (RAG) system within Snowflake, then build and deploy the app, making it available for publication and monetization on the Snowflake Marketplace.

WHY ATTEND

REGISTER NOW

Learn

Hear exciting product announcements first hand and learn what’s new with the Snowflake platform directly from the product and engineering leaders building it.

Code

Roll up your sleeves and deep dive to learn how to build apps, data pipelines and AI models on Snowflake.

Get Inspired

Join product experts and your peers as they share experiences, insights, and stories to inspire your own projects.

SPEAKERS

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

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

LinkedIn: https://www.linkedin.com/in/aarushi-arya-5a607910a/

Aarushi Arya

Associate Sales Engineer

Snowflake

Aarushi Arya

Associate Sales Engineer

Snowflake

Connect with me on LinkedIn

With more than 20+ years of experience in the industry, I have a proven track record of helping enterprise customers architect, design and build robust enterprise applications.

My hands-on expertise gained over the years of my experience on various technologies, helped me to naturally transition to a Developer Advocate, where I am dedicated to educating developers on cutting-edge Cloud Native technologies such as Kubernetes/OpenShift, Cloud Native CI/CD, Servicemesh, and Serverless.

I am also an open-source contributor, having made significant contributions to the community for over a decade. As a Google Developer Expert for Google Cloud (Modern Architecture) and Google Certified Digital Leader, I am a recognized leader in the industry and a valuable resource for anyone looking to stay ahead of the curve.

I approach my work with a philosophy of continuous learning, doing, and sharing, inspiring others to strive for excellence in the ever-evolving world of technology.

Kamesh Sampath

Lead Developer Advocate

Snowflake

Kamesh Sampath

Lead Developer Advocate

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

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

Connect with me on LinkedIn

Rahul Jain is the Data Engineering Manager at Snowflake with 12 years of hands-on experience and in-depth knowledge in Data Engineering, Analytics, Master Data Management, Data Integration and Data Warehouse design and implementation. He is also AWS Certified Solution Architect and SnowPro Core Certified. Rahul has an innate ability to present complex topics in a simplified manner. Before Snowflake, he worked with Siemens as Data Engineering Manager.

Rahul is very active on LinkedIn and is passionate about promoting Data Culture. Recently LinkedIn recognised Rahul as top 200 creators in India and gave an opportunity to participate in LinkedIn Creator Accelerator Program.

Rahul Jain

Data Engineering Manager

Snowflake

Rahul Jain

Data Engineering Manager

Snowflake

Connect with me on LinkedIn

Daniel Ong

Senior Sales Engineer

Snowflake

Daniel Ong

Senior Sales Engineer

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

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

Connect with me on LinkedIn

At Snowflake, my leadership is characterized by spearheading the development of custom applications through the inventive use of AI, ML, and LLMs. This involves driving engineering teams towards impactful innovations and seamless integrations that leverage Snowflake’s powerful data cloud platform. Our collaborative efforts focus on enhancing scalability and performance, all while maintaining the highest standards of industry best practices.

With a strong foundation in Full-stack Application Development and Enterprise Integrations, my expertise lies in building cross-functional teams that are adept at navigating complex data landscapes and creating market-leading solutions. Our mission is to deliver value-driven, data-centric innovations—transforming how businesses harness the power of data to achieve strategic objectives and foster growth in the ever-evolving digital economy.

Atul Pawar

Senior Manager, IT Engineering

Snowflake

Atul Pawar

Senior Manager, IT Engineering

Snowflake

Connect with me on LinkedIn

Sagar Shirodkar

Analytics Tech Lead

Snowflake

Sagar Shirodkar

Analytics Tech Lead

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

Parul is an accomplished data professional with over 13 years of experience spanning various industries, such as Hospitality, Banking, Airlines, and Insurance. Throughout her career, she has taken on diverse roles in Data Analytics and AI, including data engineering, architecture, leading data teams, technical leadership, and advisory. This has allowed her to gain valuable insights into industry-specific challenges and solutions. Parul has designed data solutions to drive innovation and operational efficiency.

Currently, as a Senior Sales Engineer at Snowflake, specialising in Data and AI, Parul is dedicated to fostering knowledge sharing and community engagement within the Snowflake ecosystem.

Parul Matta

Senior Sales Engineer

Snowflake

Parul Matta

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

I am a professional with more than 12 years of IT experience focusing on Data warehousing, Big Data, Data Analyst, ETL process and Business Intelligence.
I’ve been working for 3 years at one of biggest Telecommunication Provider in Indonesia, PT XL AXIATA, 1 year working for IBM Indonesia , participating in Indosata Enterprise Datawarehouse Project as an Data Analyst, ETL Developer and Tableau Developer, And 1 year working as a Technical Consultant – Professional Service for Teradata Indonesia in Jakarta, with specialization in Data warehouse, Data Analyst, ETL Developer and Big Data Engineer. 2 year working as Lead of Big Data Engineer at OVO ( Visionet International ). Almost 3 years working As a Senior Sales Engineer at Cloudera. and Currently working Senior Sales Engineer at Snowflake.

Muhammad Ardiyan

Senior Sales Engineer

Snowflake

Muhammad Ardiyan

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Vishnu is a Sales Engineer at Snowflake with experience in Data Engineering, Big Data Analytics and Cloud Architecture. He has worked with customers across a wide range of industries including, Financial Services, Retail and Digital Markets. Vishnu brings with himself diverse skillsets across the Data and AI Landscape.

Vishnu uses his implementation experience with other Data platforms and Cloud Services Providers to his advantage in assisting customers achieve their Data and AI goals.

Vishnu Rajmohan

Sales Engineer

Snowflake

Vishnu Rajmohan

Sales Engineer

Snowflake

Connect with me on LinkedIn

Raymond Cai

Associate Partner Sales Engineer

Snowflake

Raymond Cai

Associate Partner Sales Engineer

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

Connect with me on LinkedIn

Herman Santoso

Senior Sales Engineer

Snowflake

Herman Santoso

Senior Sales Engineer

Snowflake

Navneet is a highly accomplished data platform expert in client centric Strategy & Analytics solution with extensive experience in Architecture, Consultancy and Delivery Management.
Expertise includes analytical solutions in Consumer Insight / Financial Planning / Revenue Assurance / Fraud Management.

He has designed and delivered innovative solutions for large scale organisations and now brings this experience to Snowflake customers in India.

LinkedIn: https://www.linkedin.com/in/navneet-srivastava-79865015/

Navneet Srivastava

Senior Sales Engineer

Snowflake

Navneet Srivastava

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Hemant Raorane is Sales Engineer in Snowflake. He has 8+ years of experience as a data and solution architect, covering big data, data governance & security , ETL/ELT along with data visualization. He has worked across industry with multiple customers and helped them to build robust and scalable solution for their data platform.

Hemant Raorane

Senior Sales Engineer

Snowflake

Hemant Raorane

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

Wessel De Meyer

Senior Sales Engineer

Snowflake

Wessel De Meyer

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Tim Buchhorn

Senior Sales Engineer

Snowflake

Tim Buchhorn

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Majid Miri

Senior Sales Engineer

Snowflake

Majid Miri

Senior Sales Engineer

Snowflake

Raino Botha

Senior Sales Engineer

Snowflake

Raino Botha

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

 

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