Data Warehouse Modernization
Learn how you can tackle new data warehouse challenges and positively impact your Snowflake migration. You’ll hear from Snowflake customers who continue to deploy Snowflake in new and innovative ways as they migrate from legacy on-premise and cloud solutions to Snowflake. You’ll also hear from Snowflake product experts about how to leverage Snowflake to accelerate your migration, control costs, deploy security best practices and much more.
Data Warehouse Modernization Sessions
Scaling Adobe Audience Manager with Snowflake
Adobe and Snowflake embarked on a migration journey of Adobe’s 150-terabyte Audience Manager legacy database, which had grown to a petabyte. To eliminate resource contention, we redesigned ETL jobs to run multi-threaded processes leveraging dozens of warehouses. In this session, we do a deep dive into our “overlap reporting” ETL jobs, and we explain how we resolved cluster scaling and reduced run time from 30+ hours to fewer than 10 hours on Snowflake.
Paresh Shenoy – Engineering Manager, Adobe
Navin Chaganti – Data Engineer, Adobe
Aktia: Customer Insights Beyond Core Banking Data
Finnish bank Aktia will share its journey with Snowflake as an early adopter of a cloud-first data strategy among established banks in Europe. This session covers topics such as data pseudonymization for GDPR compliance, integrating machine learning into operational processes, and which components Aktia has found to be a good fit for its cloud data platform. In addition, Aktia will present ways of working effectively with Snowflake to make large amounts of data as easy to use as possible for end users.
Director, Data and Analytics, Aktia
Aptus: Using Automation to Fast-Track Data Infrastructure Delivery
Brought to you by Wherescape
Join Aptus Health’s Director of Data Warehousing Steve Gordon and Senior Director of Product Development Alethea Granberg as they discuss the company’s journey in moving its data infrastructure to Snowflake to better serve its health and life sciences customers. Learn about the business challenges Aptus Health addressed with its move to the cloud, the lessons learned in its journey to deliver a data vault on Snowflake, and why Aptus Health chose to invest in automation over traditional ETL approaches. You’ll also hear about the impact of its investment to date, and how its data warehousing team continues to evolve its use of Snowflake and WhereScape automation to deliver more to its organization.
Senior Director Product Management, Aptus
Director of Software Engineering, Aptus
ARC Corp: Building an Elastic & Scalable Data Warehouse at Airlines Reporting Corporation
Airlines Reporting Corporation (ARC) provides important global distribution solutions as well as data products built on the most comprehensive air travel data. Snowflake plays a key part in the future state of ARC’s enterprise data warehouse. Find out why ARC chose Snowflake for its cloud data warehousing needs. In addition, learn how innovative features such as scalable virtual warehouses and zero-copy cloning have significantly enhanced ARC’s customers’ experience.
Senior Database Administrator, Airlines Reporting Corporation
Blueshift: Migrating a Live Data Platform to Snowflake
Beeswax, a real-time cloud-based bidding platform, provides advertisers with detailed event-level data and actionable insights to optimize programmatic advertising. Challenged by a legacy platform that had operational and performance issues, Beeswax turned to Snowflake. Attend this session to hear Beeswax describe its migration to Snowflake and how moving to a modern cloud data warehouse simplified its architecture and enabled features not possible with its legacy system.
Mark Weiss, Senior Software Engineer, Beeswax
Cisco Breaks Down Data Silos with Snowflake
Cisco’s ecommerce platform is a custom-built mission-critical solution, accounting for $40+ billion of Cisco’s annual revenue. But getting to a single source of truth was difficult with Cisco’s previous approach of combining data across multiple data sources, including MongoDB, Elasticsearch, RDBMS, Cassandra, and other sources. Attend this session to learn how Snowflake solved Cisco’s siloed data problem and became the single data warehouse for all of Cisco’s ecommerce platform needs.
eCommerce & Cloud Architect, Cisco
Sr. Director of eCommerce, Cisco
Doordash: Snowflake Delivers the DoorDash CX
At DoorDash, delivering goodness is part of our culture. With more than 500 employees writing ad hoc queries on the back of thousands of ETL jobs, our analysts and operations teams rely on our data warehouse to deliver on this promise. In this session, learn how DoorDash used Snowflake to implement parallel ETL pipelines, socialized new SQL nuances, and used a “fuzzy match” QA strategy to check billions of rows to optimize the customer experience. Learn how the engineering migration was accomplished and how it avoided unnecessary roadblocks to minimize disruption for internal employees.
Data Product Manager, Doordash
Expedia: Driving Modern Analytics in the Cloud
Learn how a small data engineering team at CarRentals, a division of Expedia Group, leveraged Snowflake to replace its legacy cloud data warehouse and easily maintain and support a highly scalable modern data analytics solution. This session also shows how the team shifted its focus from low-value, reactive efforts to strategic data projects that have technical and business benefits.
Senior Director of Technology, Expedia
Fortescue: Get Executive Buy-In for All Your Analytics Use Cases
Fortescue will detail its path from framing the problem to its tactical execution and the executive buy-in it gained to develop a data analytics strategy across its organization. Attendees will also hear how Fortescue approached its data users to understand key business issues, highlight important business initiatives, and reveal short-term ROI and immediate value. By attending this session, you’ll also learn the value Fortescue leveraged from Snowflake partners such as Tableau to help develop a plan for delivering an integrated data platform.
Data Analytics Superintendent, Fortescue
Sr. Data Specialist, Fortescue
Infutor's Journey to the Cloud: Using Snowflake to Expand Industry-Leading Identity Graph
Identifying, verifying, and scoring inbound consumers can be the difference between a good campaign and a great one. By migrating and expanding Infutor’s Consumer Identity Graph to Snowflake, Infutor reduced build times from days to hours eliminated errors, and it now provides customers a more accurate targeting product. Attend this session to learn how Infutor’s data science team uses Snowflake to increase performance and scale test data sets into the billions of rows—something impossible before Snowflake.
Vice President of Data Engineering and BI, Infutor
Logitech: Data Done Right = #Winning
Brought to you by Tableau
The Snowflake Platform enabled Logitech’s cloud journey with minimal impact on business operations. The Platform acts as a big data fabric layer and sources data for all of Logitech’s analytics initiatives from descriptive to prescriptive to predictive analytics including NLP processing engines. Learn how Logitec enabled it’s Tableau users by building a hybrid data fabric to integrate and deliver information across on-premises and cloud seamlessly and empowered business users with a symbiotic environment for rapid innovation – with guardrails.
Chief Software Architect, Logitec
Office Depot’s Journey From On-Premises to the Cloud
Are you getting everything out of Snowflake? Find out why Office Depot chose Snowflake, what its key criteria were, and what key features ultimately led to Office Depot’s decision. You’ll also learn how Office Depot migrated from a traditional on-premises data warehouse to Snowflake. Office Depot will also walk you through its implementation approach, including key design patterns and the creation of an automated converter tool.
Sr. Manager, IT – Enterprise Intelligence, Office Depot
IT Director, Enterprise Data and Intelligence, Office Depot
Penguin Random House: Migrating to Snowflake with Zero Disruption
How do you migrate your ETL and data pipelines without interrupting business operations? Can Snowflake’s simplicity and elasticity make the job easier? Penguin Random House will answer these questions and more as the major New York publisher traces its journey from initial proof of concept to final cutover.
Senior Director, Data Warehouse Development, Penguin Random House
SF Giants: Hitting an Analytics Home Run with Snowflake
How do you turn customers into fans with modern data analytics? Learn how the San Francisco Giants enabled a customer-focused, data-driven culture to engage and serve their fans rain or shine, on and off the field. The Giants created a master “baseball fan” layer using Master Data Management (MDM) techniques to achieve faster speed to insight, and it democratized data as part of a shift to a data-driven culture.
Vice President, Business Analytics, SF Giants
Sharethrough: Data Reliability Engineering at Large Scale
Learn how to execute your own data reliability engineering (DRE) with petabytes of event data and with squeaky clean referential integrity in a collaborative, multi-team, Snowflake data warehouse. DRE works across all departments to make sure data systems are accurate, usable and relevant and reflect business rules. DRE also expects data glitches, so robust pipelines are built that will handle glitchy data, while making data errors amenable to analysis, study, and repair.
Senior Staff Engineer, Sharethrough
Sony PlayStation: Cloud Data Warehousing at Scale
Sony PlayStation is the major console gaming player with 85M+ consoles in the market and 65M+ active consumers. Sony completed a migration of its on-premises data warehouse to Snowflake before the conference. Sony is now operating a large (0.5 PB) data warehouse in a global 24/7 service supporting business performance, product behavior, and customer experience targeting use cases.
Director of Architecture, Sony
T. Rowe’s Cloud Distribution Intelligence Journey
With over $1.08 trillion in assets under management across 48 different countries, T. Rowe Price has embarked on a 3-year data and analytics roadmap supporting their Intermediary and Institutional business expansion across Americas, US, EMEA, APAC. Learn how T. Rowe approached its first cloud data modernization effort in a record 9 months’ timeframe using Snowflake. The team will share how they managed the people, process, technology complexity using strong business and technology governance driven by a Lean Agile framework. In the session, you will learn how T. Rowe operationalized insights for the global and regional Distribution teams. The team will also share future state use cases that enable augmented analytics using cognitive sales team bots and conversational UI integrated with the Snowflake data warehouse.
Head of Global Investment Management, Distributed Marketing Technology, T. Rowe Price
Senior Software Engineer, T. Rowe Price
Turner's Journey: From Hadoop to Snowflake via the CLEAR Framework
As Turner’s teams became more data-driven, the media company ran into a (good) problem: their legacy system couldn’t handle the volume. It became clear they not only needed a data warehouse that could meet their needs, but they needed a better way to migrate to reduce business costs and interference. In this session, Turner Senior Tech Director Vikram Marathe will share how and why his team selected Snowflake, and Clarity Insights Snowflake CoE Leader Ali Sajanlal will break down the CLEAR migration framework which helped Turner migrate from Hadoop. You’ll see how best-in-class organizations take advantage of Snowflake’s data sharing and learn firsthand how to execute a seamless migration.
Sr. Technical Director, Turner
Scaling Data Access @ WeWork
WeWork’s Central Data & Analytics team manages and maintains the data warehouse for its thousands of employees. Over time, they’ve slowly evolved their data access and data governance architecture from manual one-off processes to a self-service, decentralized system. Come learn about how they came to this solution and how they leverage Snowflake’s role-based access controls (RBACs) to execute on it.
Manager, Data Engineering, WeWork
Data Engineer, WeWork
Accelerate and Scale Your Cloud Analytics
Brought to you by Talend
Building a data warehouse has never been easier with cloud-native data warehouses like Snowflake. As a longtime partner, Talend has been providing tools to ingest, transform, cleanse, and govern data in Snowflake to provide trusted data at the speed and scale for business. This session will review how Talend can quickly get your initial data warehouse project up and running with the data needed as well as how to scale that from a departmental solution to an enterprise data warehouse.
Senior VP, Stitch
Business Continuity, Freedom of Your Data & Applications
No workload is immune to disasters. Come take a deep dive into Snowflake’s new replication feature for robust business continuity (BC) and disaster recovery (DR). Learn how that same technology unlocks the freedom to move your data and applications wherever you need them.
Product Manager, Snowflake
Customer Panel: Sony, Strava, Cox Automotive
Sony, Strava, and Cox Automotive will detail their Snowflake data warehouse modernization journeys. Panelists will focus on what created their need for Snowflake, the actual business problems they wanted to solve, the key product capabilities they leveraged to do so, and the measurable impact data warehouse modernization has had on their business and their people.
Executive Director, Sony
Sr. Director of Analytics and Data Science, Strava
Analytics Product Architect, Cox Automotive
Director of Product Management, Snowflake
Ease of Performance in Snowflake: What's New That Takes Performance to the Next Level
Be the first to get an overview of two new Snowflake performance features straight from Snowflake’s product management team. The team will share details of how changes we’ve made to take Snowflake performance to the next level, and highlight applicable use cases and best practices. If you take performance as seriously as we do, you won’t want to miss this session.
Director of Product Management, Snowflake
Product Manager, Snowflake
Enterprise-grade SQL & New SQL Features
Migrating from a legacy data warehouse can be challenging. In this session, you’ll learn from Snowflake’s product management team about a number of new SQL features to help accelerate your migration. See Snowflake’s newly introduced stored procedures in action and get a deeper dive on two additional features to be announced at Summit.
Director of Product Management, Snowflake
Product Manager, Snowflake
Fast-Forward to “Data Driven” with Intelligent Data
Brought to you by Informatica
This session will showcase the journey of one organization in their quest to become data driven. We will discuss their pain points and barriers to achieving this all-important goal. Finally, we will articulate how this company modernized their analytics environment and achieved their goals with a joint solution from Snowflake and Informatica.
Rodrigo Sanchez Bredee
Senior Director, Strategic Ecosystems, Informatica
How to Accelerate Your Netezza Migration
This session is a must for Snowflake customers who want a speedy and successful migration from their existing Netezza data warehouse. Join Snowflake Professional Services as we provide insights to help you avoid migration pitfalls, so you and your organization benefit sooner from everything cloud data warehousing has to offer.
Solutions Architect, Snowflake
How to Accelerate Your Oracle Migration
This session is a must for Snowflake customers who want a speedy and successful migration from their existing Oracle data warehouse. Join Snowflake Professional Services as we help you avoid migration pitfalls. This session also provides insights that will enable your organization to benefit sooner from everything cloud data warehousing has to offer.
Senior Solutions Architect, Snowflake
How to Accelerate Your Teradata Migration
This session is a must for Snowflake customers who want a speedy and successful migration from their existing Teradata solution. Join Snowflake Professional Services as we help you avoid migration pitfalls. This session also provides insights that will enable your organization to benefit sooner from everything cloud data warehousing has to offer.
Consulting Manager, Snowflake
Micro Partitions: The Secret to Zero-Copy Cloning, Time Travel, and Continuous Data Protection
Snowflake’s cloud-built data warehouse unlocks key differentiating features. Looking at the lifecycle of micro partitions, this session explains zero-copy cloning, instant time travel, and continuous data protection. It also shows how micropartitions tie into Snowflake’s unique architecture of separation of storage and compute and enable advanced features such as automatic clustering.
Software Engineer, Snowflake
Migrating to Snowflake - Blast Out of the Starting Gate
The right data migration strategy is critical. This session provides key insights and guidance on migration strategies, including migrating from Teradata. Join Snowflake Professional Services experts as they cover migration topics, including source system documentation, migration approaches, modernization considerations, and prioritizing data sets for migration. You’ll learn which migration strategies will help you make the most of your Snowflake investment.
Consulting Manager, Snowflake
Modernizing Your DW by Moving to the Cloud
Brought to you by Fairway Tech
A step by step guide on moving from on-prem to the cloud. We will cover security, moving workloads, agile data warehousing, CI/CD improvements with Snowflake, and large cost savings.
Vice President of Data and Analytics, Fairway Technologies
President & Founder, IT Strategists
Snowflake Security Best Practices and What's New
Security has been core to Snowflake since day one. This session covers Snowflake’s native security features, including federated authentication and OAuth, helping you avoid error-prone manual security measures. The session also introduces new security features available soon for preview.
Product Manager, Snowflake
Auto-Clustering for Performance Efficiency
This lab covers post-implementation use cases that demonstrate how choosing the right clustering keys prevents query performance bottlenecks. You will also learn the benefits of auto-clustering and clustering materialized views.
Legacy Got You Down? Liberate and Monetize Your Data!
Brought to you by Sirius
Need fresh ideas on getting economic benefit from your analytics pipeline? The time to modernize and monetize is now. This not-to-be-missed session takes you through the journey of migrating from legacy systems, such as Netezza and Teradata, to Snowflake, the data warehouse built for the cloud, enabling you to productize your analytics pipeline and monetize your data.
Sr. Solutions Architect, Sirius
Managing Snowflake Warehouse Workloads
This lab shows you how to identify warehouse behavior under load, handle capacity bottlenecks, and perform scale up and scale out techniques based on workload.
Optimizing Query Performance
In this lab you’ll run performance tests and analyze profile metrics on several unique queries. You’ll then gather clustering information for a table and based on this information, set a clustering key and initiate a recluster. Finally, you’ll rerun performance tests on the newly clustered table and compare the results to those you gathered earlier.
Snowflake Fundamentals Lab Part 1
This entry-level lab introduces you to Snowflake from an end-user perspective. Get experience with Snowflake’s browser-based UI where you will create tables, load data, and execute queries.
Snowflake Fundamentals Lab Part 2
This entry-level lab introduces Snowflake’s unique database capabilities from an end user and administrative perspective. Building on Snowflake Fundamentals Lab Part 1, it gives you hands-on experience with Snowflake’s patented zero-copy cloning, loading and querying semi-structured data, time travel, and secure data sharing in real time.