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#SnowflakeBuild
  • Agenda
  • Learn
  • Why Attend
  • Speakers
  • Register Now

Build2021

  

Calling all developers, data engineers, and data scientists! Join us for a two-day virtual event packed with demos, AMAs, and hands-on labs created by builders, for builders. Immerse yourself in improving your apps, data pipelines, machine learning workflows, and more - then meet with your peers at one of our in-person BUILD.local events.

DECEMBER 7-8

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

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AGENDA

AEDT | NZDT – Time Friendly

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

WEDNESDAY - DECEMBER 7
DAY 1 - PART 1

10:00 AM AEDT | 12:00 PM NZDT

Opening Keynote


Session Descriptor

In the world of application development Snowflake imagines giving builders the data access and tools to deliver powerful applications in ways that were previously impossible. Natalie Mead provides a unique APJ perspective on Snowflakes strategy and the opportunity for our rich community of builders. She will also signpost the key technologies and sessions from the global build events.

10:30 AM AEDT | 12:30 PM NZDT

Designing Applications for Performance

Session Descriptor

This session will guide you through how to design your application for the best performance. Topics will include right-sizing warehouses, concurrency with multi-cluster warehouses, query pruning, compilation, and optimizing connection and transport for your clients.

 

We will also discuss recent changes that have increased performance and upcoming functionality that can be leveraged to cover higher concurrencies and lower-latency workloads.

11:00 AM AEDT | 1:00 PM NZDT

Bringing Transactional Use Cases to Snowflake with Unistore and Hybrid Tables
Session Descriptor

Join this session to learn how, with Unistore and Hybrid Tables, you can build transactional applications directly on Snowflake, simplifying your application stack so real-time analytical queries can run on transactional data.

11:30 AM AEDT | 1:30 PM NZDT

Built in APJ – Hear from Marketplacer
Session Descriptor

Join our guest innovator from the community! In this session we showcase an APJ customer diving into how they have created a solution on snowflake. We get into the detail so don’t miss this chance to meet out guest presenter!

 

WEDNESDAY - DECEMBER 7
DAY 1 - PART 2

12:30 PM AEDT | 2:30 PM NZDT

Managed, Connected, and Native—Oh My! Application Deployment Models on Snowflake

Session Descriptor

Designing applications that scale as your customer base grows can be challenging. It’s important to have an efficient deployment approach that meets the data access, privacy, cost, and performance needs for both you and your customers.

 

Join this session with a Snowflake product expert and the CTO of MessageGears to learn about the different deployment and tenancy models for applications powered by Snowflake.

1:00 PM AEDT | 3:00 PM NZDT

DevOps and git-flow with Snowpark

Session Descriptor

Snowpark let’s builders create and extend Snowflake using Python, Java, and JavaScript.

 

But how can you bring in DevOps best practices for development, collaboration, and automated releases?

 

In this session we’ll walk through using ‘git-flow’ with Snowpark for production-grade Snowpark apps.

1:30 PM AEDT | 3:30 PM NZDT

How to build ML Models in Snowflake using Python and Snowpark
Session Descriptor

Want to know how to build machine learning models in Snowflake and present them to your stakeholders?

 

In this session we will show you

  • how to use Snowpark to clean your data and perform feature engineering,
  • build and train sales forecast models using Python in Snowflake, use Python UDFs to expose your predictive models,
  • present and analyze your models in ThoughtSpot.

2:00 PM AEDT | 4:00 PM NZDT

How Iceberg Tables Work in Snowflake
Session Descriptor

Iceberg Tables, a new type of Snowflake table available in preview, pairs Snowflake’s powerful performance engine and platform capabilities with open formats in external storage.

 

In this session, learn about the Apache Iceberg project along with a technical deep dive on how Iceberg Tables work in Snowflake.

THURSDAY - DECEMBER 8
HANDS-ON-LABS

10:00 AM AEDT | 12:00 PM NZDT

[LAB] Building a Data Application with Snowflake Marketplace, Snowpark, and Streamlit
Session Descriptor

In this hands-on lab, you will build a data application that leverages the Economy Data Atlas, published by Knoema on Snowflake Marketplace. You will process data with Snowpark, develop a simple ML model, and create a Python UDF in Snowflake, then visualize the data with Streamlit.

 

Key Features and Technology: Snowflake Marketplace, Snowpark for Python, Python libraries, Python UDFs, Streamlit

 

Prerequisites:

  • Account Admin role access in Snowflake or a Snowflake trial account: https://signup.snowflake.com/
  • Basic knowledge of SQL, database concepts, and objects
  • Familiarity with Python. All code for the lab is provided.
  • Ability to install and run software on your computer

 

Please reference this Quickstart with step by step instructions.

12:00 PM AEDT | 2:00 PM NZDT

[LAB] Machine Learning with Snowpark for Python
Session Descriptor

In this hands-on lab, you will see how data teams can go from data and feature engineering to model development and productionalizing in a collaborative and scalable way using Snowpark, Apache Airflow, Anaconda, and Streamlit.

 

Prior experience using Python and data science tools such as notebooks and open-source packages is a plus.

 

Lab Prerequisites:

  • Your laptop.
  • Snowflake trial account (https://signup.snowflake.com/) in **AWS – US West (Oregon)** with an initial admin account created
  • Free Amazon SageMaker Studio Lab account (https://studiolab.sagemaker.aws/)

 

Optional: Docker Desktop or other Docker runtime installed on your laptop for the Apache Airflow portion of the lab Review the QuickStart”

Engage in Product Deep Dives, Demos, Labs and AMAs

Snowpark. Python. Streamlit. Native Apps. Explore these topics and more in our 10 sessions. Attend virtual labs and interact with data experts and speakers online, then meet other community members in-person at a BUILD.local event locally.

WHAT YOU’LL LEARN

Dive deep into best practices for building on the Data Cloud including some of the newly announced developer features

 

App Architectures

Build managed and connected apps, or use Snowflake primitives to deploy apps natively inside a customer’s Snowflake account. 

Unistore

Work with transactional and analytical data in a single data set, with fast single-row operations and efficient analytical queries.

Snowpark

Use Scala, Python, or Java along with DataFrame constructs to build data pipelines, ML workflows, and apps.

Streamlit

Build and share interactive visualizations with a few lines of code—without having to learn front-end development languages.

User-Defined Functions

Extend Snowflake with in-engine JavaScript, Python, Java, and SQL functions to perform custom calculations.

Streaming

Ingest row-set streaming data natively in Snowflake with Snowpipe Streaming and Kafka Connector, and transform declaratively with materialized tables.

WHY ATTEND

Learn From the
Experts

Join keynotes, lightning talks, AMAs, and panel sessions to discover the latest features of the Snowflake Data Cloud

Connect With Your
Peers

Join 15+ community-led events across the globe. Meet other developers and explore what and how to build

Get Hands-On Experience

Roll up your sleeves in virtual labs led by Snowflake engineers and community members.

SPEAKERS | BUILDERS

Natalie Mead

VP, Sales Engineering

Snowflake

Natalie Mead

VP, Sales Engineering

Snowflake

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

Stephen Weingartner

Senior Sales Engineer

Snowflake

Stephen Weingartner

Senior Sales Engineer

Snowflake

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

Field CTO | Platform Performance Specialist

Snowflake

Nic Crouch

Field CTO | Platform Performance Specialist

Snowflake

Kam Rafiei

Senior Product Manager

Marketplacer

Kam Rafiei

Senior Product Manager

Marketplacer

Denny Riadi

Lead Data Engineer

Marketplacer

Denny Riadi

Lead Data Engineer

Marketplacer

Prashant Yadav

Field CTO | Principal Architect, Data Engineering

Snowflake

Prashant Yadav

Field CTO | Principal Architect, Data Engineering

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

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

Sean Kim

Sales Engineer

Snowflake

Sean Kim

Sales Engineer

Snowflake

Majid Miri

Senior Sales Engineer

Snowflake

Majid Miri

Senior Sales Engineer

Snowflake

Tim Buchhorn

Senior Sales Engineer

Snowflake

Tim Buchhorn

Senior Sales Engineer

Snowflake

Stephen Ermann

Senior Sales Engineer

Snowflake

Stephen Ermann

Senior Sales Engineer

Snowflake

Don’t build alone. Find your local chapter.

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