1:00 PM PDT - Monday, Jun 3
Optimizing Snowflake Spend and Maximizing Value Through FinOps, OO109
The current economic environment is putting pressure on leaders to accelerate and scale gen AI/ML-driven disruptions. This requires companies to accelerate their journey to the AI Data Cloud, and to do it cost-effectively. This session explores the application of FinOps best practices to help customers drive healthy and sustainable consumption. You will hear about our holistic framework covering People, Process and Technology pillars. This session is a must-attend for finance, IT professionals and Snowflake users keen on optimizing costs and better aligning consumption to business value.
Show and Tell: Discover 3 Secrets to Saving Months of Engineering Time, OO202
In this session, the ex-CIO of Novartis and FCA, and a Solutions Architect, will present three live demos to show how to shave months off your Snowflake data engineering, analytics or app development project with platform engineering. This will be a practical session with lots of actionable takeaways! Join us if: 1) You're a data engineer or developer tired of wasting time on repetitive tasks in environment provisioning, building and deploying data products, and want to know how it can be done within minutes. 2) You're an architect wanting to know how to set the right guardrails so your design is realized. 3) You're an IT executive needing an overview of your team's progress and the spend of use cases at any given moment. Please note: Theaters are first come, first seated.
2:00 PM PDT - Monday, Jun 3
Delivering Clinical Data Products at Scale, OO302
Join this session to learn how Komodo Health delivers customer analytics at scale by using an automated process to replicate each customer account into separate managed accounts. We'll cover how this process — which replicated shared and private databases plus associated warehouses, roles, grants and network configurations — ensured a seamless transition to a new, isolated account. We'll also explore how the transition process integrated observability features to monitor access, centralize procedures and enable control from one federated Snowflake account. Deliverables included Terraform code to templatize deployments, a Temporal workflow to sequence and orchestrate stand-up, and the underlying code-level feature sets — enabling effective delivery of data products. Please note: Theaters are first come, first seated.
How Coinbase Boosted Cost Efficiency with Snowflake During the "Crypto Winter", OO217
When macroeconomic and systemic headwinds hit the cryptocurrencies market in 2022-2023, Coinbase partnered with Snowflake and its Professional Services team to accelerate extensive optimization to ensure the right foundations for sustainable growth. In this session, learn about the optimization phases and progress, and how this translated to the elimination of extraneous and wasteful queries, as well as the identification and redirection of queries to warehouses of different sizes and concurrency levels. Also understand the evolution of Coinbase’s data architecture, and how the process to optimize on Snowflake has led to platform simplification and the ability to address key workloads.
Best Practices for Optimizing Snowflake Query Performance, OO307
Ever wonder about the intricacies of a Snowflake query’s performance? This session demystifies query performance and provides practical insights for tuning. We'll delve into a comprehensive overview of Snowflake query performance, including exploring the lifecycle of a Snowflake query, understanding the Snowflake optimizer, identifying factors that impact query performance and implementing best practices. Participants can deepen their understanding of the Snowflake compiler and optimizer fundamentals, acquire troubleshooting techniques for pinpointing performance bottlenecks, and discover how Snowflake can optimize query performance.
How ServiceNow Optimizes Snowflake While Scaling Workloads 5x, OO216
Join this session to discover how ServiceNow creates a culture of Innovation with Snowflake, continuously creating more powerful data engineering and AI workloads at scale. With about 5x growth in workloads and 3x growth in its user base, ServiceNow will offer practical insights on how the company is optimizing and scaling its Snowflake platform while giving everyone a free hand for experimentation. Keeping the ecosystem healthy from the start and having the right amount of governance is key to success. Join us to watch a demo and learn how you can drive a culture of innovation while staying brilliant at the basics. Please note: Theaters are first come, first seated.
3:00 PM PDT - Monday, Jun 3
Real-World Strategies and Features for Cost Management in Snowflake with ICE/NYSE, OO206
Learn from experts in the Center of Excellence at the Intercontinental Exchange/New York Stock Exchange (ICE/NYSE) about effectively implementing cost management practices in Snowflake. Join this session to hear best practices, insights and practical strategies for optimizing costs. You’ll also learn about Snowflake’s out-of-the-box features, which help with monitoring and controlling costs, including recent enhancements in Snowsight.
Tips and Tricks: Optimizing Queries to Reduce Cost and Improve Performance , OO209
Many users will compose complex queries as their organization scales Snowflake, but these queries are not always optimized for cost and performance. Having adopted Snowflake in 2017, Capital One has years of experience optimizing its own queries — at scale, across business teams — to both reduce cost and improve performance. In this talk, we’ll tap into this experience to share tips and tricks for users looking to optimize queries based on various use cases. Please note: Theaters are first come, first seated.
Put AI to Work for You: Automated Cost and Performance Optimization, OO204
This session explores how cutting-edge research from top universities has turned into a patented state-of-the-art cost and performance optimization platform for cloud data platforms. AI gets lots of headlines because of the applications for business users, but data teams large and small can benefit too - using AI to automatically boost performance, save money and free-up data engineers for strategic tasks. We will look specifically at how AI is applied to real-time optimizations, automated query rewriting and on-the-fly query routing. Join also to hear case studies of how Snowflake customers across different industries are using this technology to take on increasing workloads with lower costs. Please note: Theaters are first come, first seated.
4:00 PM PDT - Monday, Jun 3
How Costco Travel Uses ML to Automatically Optimize Snowflake Costs by 50%, OO104
Costco Travel offers everyday savings on top-quality, brand name vacations, hotels, cruises and rental cars, exclusively for Costco members. As the travel industry continues to recover from the pandemic, Costco Travel is challenged to do more, meet tightening SLAs, and yet do this all with minimal data engineering resources. In this session, learn how the company's small data team was able to save 50% in Snowflake costs and free up time to focus on its users. The company will discuss the Snowflake optimization challenges faced by small teams, the Snowflake lessons they learned, the various solutions they considered, and how they ultimately ended up with a machine learning solution that automatically optimizes. Please note: Theaters are first come, first seated.
11:00 AM PDT - Tuesday, Jun 4
How DoorDash Manages Data Retention to Optimize Performance and Cost on Snowflake, OO203
In this session, learn how DoorDash delivers value with data in Snowflake, while prioritizing efficiency through data retention programs. We will describe and demo the Data Retention Platform application, tailored for managing data lifecycle on Snowflake tables. It empowers users to set retention rules, dictating the time-to-live (TTL) for data, thereby guiding its deletion or archival. The platform specializes in executing archival processes to S3, and it supports Delta Lake and Apache Iceberg, ensuring compatibility and efficient handling of data stored in formats such as Parquet and Avro. As a result, DoorDash is able to make near real-time decisions and power business critical applications with data in Snowflake, while efficiently reducing storage costs.
12:00 PM PDT - Tuesday, Jun 4
How Discover Optimized Performance and Costs on Snowflake, OO205
Never risk performance — without it, everything else is moot! Join us for an inside look at how Discover delved into key performance metrics that are often overlooked in Snowflake. This session will detail how to navigate challenging areas such as identifying memory limitation, warehouse sizing and storage usage. Join us to unlock Snowflake efficiencies, ensuring peak performance and gain actionable strategies for maximizing Snowflake capabilities to elevate your data infrastructure. Please note: Theaters are first come, first seated.
Operating Models for a Snowflake-Centric Cloud Data Platform, OO212
In this session we will discuss best practices for organizations running on the Snowflake platform, including defining your data strategy, building an operating model to support your desired outcome and communicating iterative value. We will also share practical examples of building a knowledge community within your organization to help scale knowledge enablement across teams. Please note: Theaters are first come, first seated.
1:00 PM PDT - Tuesday, Jun 4
Optimizing Storage Costs in Snowflake with Lakehouse Patterns, OO201
Data sets are growing at a faster rate than ever before, and companies often want flexibility in data lifecycles. Some tables may require very short lifecycles for compliance, but other tables need perpetual storage of historical data. This session will show several solutions to these requirements. The first solution will use Snowflake tasks to unload data to Amazon S3 for those that want to use it for archival from Snowflake tables. The second solution will show how to use Iceberg Tables and Amazon S3 lifecycle policies to better control costs using Glacier Instant Retrieval for data. And the finale solution will use Snowflake native capabilities for automatically deleting data to support compliance use cases.
Pricing and Billing Demystified for Snowpark Container Services, Hybrid Tables and Snowflake Cortex, OO222
Snowflake is radically expanding the capabilities of the AI Data Cloud with the introduction of Snowpark Container Services (SPCS), hybrid tables and Cortex functions this year. These exciting new features will introduce several new pricing and billing concepts that are different from Snowflake's historical pricing model. In this session, we will introduce new pricing and metering mechanics of these features, explain how these new usages will show up in your statement, and share some tips and tricks on how to use these features efficiently. Join to learn how Snowflake prices and meters these new features with a focus on simplicity, transparency and value.
2:00 PM PDT - Tuesday, Jun 4
How BNY Mellon Optimizes Cost and Performance with AI, OO309
Learn how Pershing X, a technology provider within BNY Mellon, uses AI-driven data observability to uncover insights that fine-tune Snowflake workloads, optimize cost and ensure peak performance. See how Snowpark ML and Cortex enable moving from manual optimization to AI-powered cost-performance optimization algorithms that use observability baselining metrics as a guiding light. Also, hear how Snowflake allows Pershing X to predict query costs, identify anomalies, suggest query optimization hints, suggest warehouse scaling optimizations, and route queries based on warehouse capacity for optimal cost and performance.
3:00 PM PDT - Tuesday, Jun 4
Delivering Snowflake at Scale at Deliveroo, OO210
Join this session to hear how Deliveroo works with large data sets and warehouses, incremental processing use cases, clustering best practices, warehouse configurations, horizontal and vertical scaling, and how to maximize utilization. We will also cover how Deliveroo uses metadata for monitoring and observability, and how the company balances centralized control with operational freedom. Please note: Theaters are first come, first seated.
Scaling Global Data Streams: Pitney Bowes' Journey to Snowflake Optimization, OO211
From more than 700,000 IoT devices tracking mail and parcels worldwide, Pitney Bowes has been managing and analyzing data on a global scale. After adopting Snowflake more than five years ago, the data management team went through different phases of optimizing the data models and governance for Snowflake. This session will share the strategies and best practices implemented by Pitney Bowes to optimize Snowflake for self-service analytics, performance and cloud compute costs in the face of ever-increasing data volumes. We'll dive deep into the company's data architecture, Snowflake integrated tools the team uses day-to-day, and Snowflake best practices they've learned along the way.
Slashing Data Platform Costs with Shane Co, Snowflake and Coalesce, OO102
Shane Co, known as “your friend in the diamond business” from their radio ads, is the largest family-owned jewelry store chain in the U.S. The company struggled with astronomical data platform expenses, rigid and outdated data tooling, and an excessively complex architecture that was throttling data exploration and innovation. Join this session to hear from Justin Grimme, Manager of Business Intelligence, as he explains how Shane Co revolutionized their data stack by migrating from SAP BW/4 HANA to the Snowflake Data Cloud, and how they accelerated time to delivery by enabling data users across the business to polish raw data into pristine insights with Coalesce’s visual data transformation platform.
4:00 PM PDT - Tuesday, Jun 4
AI and ML-Powered Cost Optimization at BlackRock, OO308
In collaboration with Snowflake's technical team, BlackRock has crafted a systematic approach to application development, prioritizing performance and cost control. In this session you will learn how BlackRock uses historical query history data, table store metrics, metering history and other counters to predict the consumption usage and prescribe the most efficient approaches to maximize performance and minimize costs.
11:00 AM PDT - Wednesday, Jun 5
Customer Use Case: Snowflake's Epic Data Product Journey with DataOps.live, OO223
Snowflake had a big challenge: How do you enable a team of 1,000 field architects and sales engineers to successfully demonstrate every feature and capability in the Data Cloud tailored to different customer needs? In this session, Charlie Hammond, Data Platform Specialist at Snowflake, and Guy Adams, CTO at DataOps.live, will explain how Snowflake builds and deploys hundreds of data products using DataOps.live. Join us for a deep dive into Snowflake's innovative approach to automating complex data product deployment — and to learn how the Snowflake Solutions Center revolutionizes solution discovery and deployment to drive customer success. Please note: Theaters are first come, first seated.
How PagerDuty Improved Performance 5x and Reduced Costs 40% with Snowflake, OO101
Join Eric Johnson and Sunny Bedi as they discuss the strategic partnership between their companies, reshaping their digital operations through innovative data management. This session covers PagerDuty's shift from a complex data environment to Snowflake's efficient platform, achieving a 40% cost reduction and a fivefold performance increase. They'll also explore an emerging use case leveraging PagerDuty's incident response with Snowflake's platform for proactive data management, ensuring data quality and optimizing resources.
Cost-Effective Ways to Boost Snowflake Performance, OO105
In this session, we’ll start with an overview of Snowflake’s workload optimization features, including Automatic Clustering, Query Acceleration Service, Search Optimization and more. We’ll then cover tips and tricks for using these features cost-effectively, and show how newer features such as Automatic Clustering cost estimation and Cost Insights makes this easier than ever. Finally, we’ll invite Block on stage to share the company's cost-effective usage of workload optimization features.
12:00 PM PDT - Wednesday, Jun 5
Fiserv: Intelligent Cloud Migration and Optimization with Alation, OO106
Organizations often lack insight into what data and analytics are most used by their users. Identifying the most and least popular data assets and workloads is a key first step for building a migration and cost optimization strategy for the Snowflake Data Cloud. Learn how Fiserv put the Alation Data Intelligence Platform at the center of its data modernization strategy, cataloging and delivering data to end users across multiple business units. Don’t miss this real-world example of how data leaders at this global financial services organization trust Alation to help find, understand and govern their data to reap maximum benefits from the Snowflake Data Cloud.
An Inside Look at Platform Performance Improvements at Snowflake, OO306
Get a behind-the-curtain view into how Snowflake development teams tackle some of the world's most challenging distributed data processing challenges. Learn about how we think about the entire lifecycle of query performance, how we find opportunities to make ongoing performance improvements across this lifecycle, and how we track the impact of these improvements.
1:00 PM PDT - Wednesday, Jun 5
Honeywell's Journey Toward Optimizing Snowflake, OO213
As a SaaS platform, onboarding to Snowflake is an easy process. While many of Honeywell's use cases were rapidly enabled by Snowflake, cost controls and management were needed. Join this session to learn about Honeywell's Snowflake cost management and optimization initiatives, and how the company leveraged the Snowflake platform to perform business continuity, security, compliance, integration, monitoring, reporting and governance activities.
2:00 PM PDT - Wednesday, Jun 5
How Medtronic Optimized and Future-Proofed Pipelines Architecture to Save $1.4M Annually, OO301
Medtronic applied a variety of optimizations to optimize Snowflake costs. Join this session to learn about Qlik configurations and architecture changes to optimize loading pipelines, saving roughly $1.4M annually in compute. We’ll also cover how we use query history data to build a dynamic warehouse-size recommendation engine and optimize compute costs. Lastly, we’ll describe how we use query tagging to track and monitor dbt models.
Accelerating Commercial Analytics Using Snowflake in Life Sciences, OO110
Cognizant helped a leading life sciences company in North America enable faster ingestion of data sources through a metadata approach and scalable data processing that uses a Snowflake virtual warehouse strategy. Join this session to learn how Cognizant created an architecture to ensure advanced analytics on goal setting, summarization and incentive compensation cycles every month without any data delays, while ingesting a high volume of data coming in from various departments. Please note: Theaters are first come, first seated.
From Cloud to Data Infrastructure: FinOps Tips to Ensure Valuable Data Spend , OO103
Many companies will apply the concept of FinOps to ensure cloud spend is valuable to the business. As compute spend increases due to AI, companies also need to be thoughtful about their data spend. In this talk, we’ll discuss how a FinOps strategy can be applied to data infrastructure, bringing together technology, finance and business teams in a shared accountability model. We’ll share how this comes to life to ensure data spend is valuable to the business, and we'll offer tips to help companies do the same.
Informatica GenAI Blueprint: Everything You Need To Know To Go From GenAI Dreams to Enterprise Reality, OO214
Are you envisioning to use GenAI for your enterprise ? Is there an need to bring enterprise-aware data into your GenAI apps ? Join us in this session to learn about how Informatica’s Intelligent Data Management Cloud™ (IDMC) can supercharge your GenAI initiatives on Snowflake Cortex by bringing trusted & governed context along with the metadata from within your enterprise to enhance the accuracy & trustworthiness of your GenAI outcomes. Additionally, we will showcase how you can leverage the collaborative innovations between IDMC and Snowflake Data Cloud to power your data analytics and generative AI use cases.
3:00 PM PDT - Wednesday, Jun 5
The Snowflake Performance Index, OO218
Come and learn about the Snowflake Performance Index, and how we use it to discover opportunities to improve Snowflake. We will present a recap of the performance features that drove the index down, and take a brief look at the roadmap for improvements going forward.
9:00 AM PDT - Thursday, Jun 6
Best Practices for Optimizing Snowflake Query Performance, OO307
Ever wonder about the intricacies of a Snowflake query’s performance? This session demystifies query performance and provides practical insights for tuning. We'll delve into a comprehensive overview of Snowflake query performance, including exploring the lifecycle of a Snowflake query, understanding the Snowflake optimizer, identifying factors that impact query performance and implementing best practices. Participants can deepen their understanding of the Snowflake compiler and optimizer fundamentals, acquire troubleshooting techniques for pinpointing performance bottlenecks, and discover how Snowflake can optimize query performance.
Cost and Performance Optimization in Snowflake, OO304
Join us for this hands-on lab to learn how to optimize cost and performance on Snowflake. This session is designed for architects and database administrators who already have a working knowledge of Snowflake, and the ability to view account-level usage data and modify object settings in their Snowflake account(s). This lab will teach you how to monitor usage and identify inefficiencies in your Snowflake account, and will explore performance features such as automatic clustering, the Query Acceleration Service, materialized views and more.
Stop Naming Your Warehouses Like They're Pets: AI-Driven Query Routing, OO220
If you're manually creating Snowflake warehouses, not sure if you're picking the right size or toying with resize scheduling, come to this talk to learn a better way. See how AI-driven query routing has already made Snowflake cheaper and faster for multiple companies. Learn a modern production approach that leverages warehouse pooling and dynamic routing. Get insight on how best to balance latency, cost and efficiency. The talk will also examine the critical tension between cost accounting and warehouse bin-packing. Last, we'll review how workload tagging can future-proof your Snowflake investment for a fully cloud-native, serverless world. Please note: Theaters are first come, first seated.
10:00 AM PDT - Thursday, Jun 6
Best Practices for Managing Costs in Snowflake, OO219
Snowflake is constantly improving the value of a Snowflake credit via ongoing, transparent platform improvements. Cost-sensitive organizations need to fully understand their company’s usage needs and optimize usage over time while controlling resource provisioning. In this session, we will discuss the best practices to manage your Snowflake spend by featuring three essential attributes of active cost governance. Visibility enables full understanding of spending and accurate attribution. Controls allow you to set limits and take actions. Optimizations allow you to identify inefficient spend and reallocate dollars for more impact.
11:00 AM PDT - Thursday, Jun 6
Data Superhero Panel: How to Optimize Snowflake Performance and Costs, OO107
Join this panel session to hear from Data Superheroes on how Snowflake gives you all the necessary tools to run a highly optimized and efficient Data Cloud. This panel will dive deep into cost and performance optimization techniques, and share best practices and frameworks to tackle real-world scenarios. Please note: Theaters are first come, first seated.
How SurveyMonkey Increased Snowflake Workloads by 475% with Only a 27% Increase in Credit Use, OO221
SurveyMonkey, a leading survey software company servicing 17 million users worldwide, knows how to scale efficiently. From tripling data pipelines and tables with Snowflake costs in check to reducing data delivery times of executive dashboards, the data team delivers. In this session, Sri Subramanian, Director of Data Engineering at SurveyMonkey, will share the tech stack his team leverages to power their query optimization efforts, with Snowflake at the foundation. He'll walk through how his team expanded data pipelines to meet the growing demand for data with efficiency in mind, and re-architected their data flows to increase efficiency. The result? A 475% increase in Snowflake jobs with only a 27% increase in credit use.
Optimize Snowflake Cost and Performance with InstaQuery AI, OO224
Join this session to learn how InstaQuery, the latest SaaS offering from Kloudgen Inc., helps you optimize your Snowflake account for cost and performance. We'll explore two innovative services that InstaQuery offers: InstaQueryOptimizer automatically analyzes your Snowflake queries using a unified static, dynamic and environmental approach, and lists inefficiencies and their remediations. And InstaQueryRewriter rewrites your Snowflake queries using a unique approach that combines a rules-based engine with generative AI and supports more than 14 databases and data platforms. Please note: Theaters are first come, first seated.
How Grab Reconciled Financial Data, Improving Performance 4x, OO208
Grab, one of the leading super-apps in ASEAN, processes over 10 million transactions daily across diverse verticals. Given the vast scale of operations, a reconciliation framework with high accuracy, reliability and scalability is required. This session will explore how Grab has built a native reconciliation platform that integrates financial data from various business units and conducts reconciliation. With Snowpark for backend processes and Streamlit for the front end, the new system has achieved a 4x increase in processing speed and a 50% cost reduction. Join to learn how this modernization has significantly reduced maintenance efforts, while capitalizing on Snowflake's high uptime and effortlessly scalable compute and storage. Please note: Theaters are first come, first seated.