Find out how to reduce overhead, increase revenue and enhance your customers’ experience by processing more data faster and producing deeper analytics via comprehensive reports and dashboards. In addition, you’ll find out how to improve collaboration across your organization’s business units thanks to greater access to your data. You’ll also hear from Snowflake engineers about how to improve performance via query optimization, and cluster and pruning. You also get the inside track on security and monitoring, and deploying modern security analytics.
Accelerating Analytics
ACCELERATING Analytics Sessions
Accordant Media: How to Move from HIVE/Hadoop/Spark Infrastructure to Snowflake
Learn how Accordant Media moved from a HIVE/Hadoop/Spark infrastructure to Snowflake, providing its data users easy access to petabytes of structured and semi-structured data. At Accordant, we reduced time spent on querying and accessing data, and stopped having to give excuses such as “Mappers failed,” “Reducers failed,” or “We’re looking into the HIVE logs to see why the job failed.” Snowflake makes it easy to run SQL jobs instead of EMR jobs to get answers much faster.
SPEAKER
Balaji Rao
SVP, Technology, Accordant Media
Domain.au: Calculating SaaS Financials: Getting Money Out of Your Data Warehouse
In most modern organizations using a central data warehouse, the true value and potential of available data assets cannot be realized until access to that data gets fully democratized. Unfortunately, traditional data warehouse solutions do not offer the flexibility and functionality to achieve this. Attend this session to learn how Domain, an Australian digital property portal and associated real-estate industry business, empowered everyone in its organization with data to create a truly data-driven culture. See how Domain was able to get quicker access to data-driven insights, driving the business into new categories.
SPEAKER
Pooyan Asgari
Chief Data Officer, Domain Holding Group Australia
Dropbox: Accelerate Business Outcomes and Reduce Platform Complexities
Attend this session to understand how Dropbox leveraged Snowflake to enable accelerated business analytics and data-driven insights. Snowflake has minimized the overhead of traditional, competing data architectures, while empowering the Dropbox business and analytics communities to massively enhance their daily productivity by performing ad hoc analytics on a scalable and high-performance data store.
SPEAKERS
Ravi Poruri
Head of BI and Data, Dropbox
Apun Hiran
Data Architect, Dropbox
Duo Security: Calculating SaaS Financials: Getting Money Out of Your Data Warehouse
Brought to you by Matillion
At Duo Security, we have a rapidly expanding SaaS business and had out-scaled our revenue reporting tools. This created an opportunity to deliver a solution for automated daily revenue recognition and account subscription reporting. Using Matillion, Snowflake, and great business partners, we achieved this in weeks instead of months. Our new solution enables our sales team to make much more informed decisions leading up to our end of quarter. Our finance and revenue recognition teams no longer work overnight collecting data to meet deadlines and all of this happens with zero cost to our business.
SPEAKER
Chris James
Data Warehouse Developer, Duo Security
Snowflake at Electronic Arts: The Data Platform for Analytics
Do you want a central hub to run advanced analytics and efficiently and securely share data internally and externally? Electronic Arts, a global leader in digital interactive and entertainment, required a platform for robust analytics for an industry in which products notoriously have a short shelf life and where the market reacts in days and weeks instead of months. Hear about the rigorous selection process we went through, why we ultimately chose Snowflake, and how Snowflake solved our scalability challenges while revolutionizing all our data processes.
SPEAKER
Vlad Valeyev
Chief Architect, Company Operations, EA Global IT
Indigo: Revolutionizing Agriculture with Snowflake
Our team at Indigo is on a mission to create the world’s wisest grower by arming them with insights gleaned from analytics and machine learning algorithms. We’re integrating data from public geological and weather sources, from sensors and machines in our fields, and from satellites in space. This foundation is built on Snowflake, where we join data along geospatial dimensions. From this rich feature store, we build agricultural machine learning algorithms and we’re building mobile applications to provide recommendations to our growers. These recommendations guide growers through the 150-plus decisions they must make during a growing season. Our recommendations make farming more sustainable, provide greater food production, sequester more carbon, and enable farms to rely less on harmful chemicals.
SPEAKER
Michal Klos
Senior Director of Engineering, Indigo
Navis: Creating a Culture for Self-Service Analytics
Brought to you by Sigma Computing
Learn how Navis, the global leader in maritime software solutions, achieved its cloud analytics objectives by deploying Sigma Computing on top of Snowflake. By integrating new data sources, including IoT equipment, into their analytics, Navis enabled business units to collaborate more closely, improve data access, and consolidate analytics across the global maritime ecosystem.
SPEAKER
Dave McCandless
CIO, Navis
Oney Data: Creating Value from Category Management Optimization and Vendor Collaboration
Retailers and ecommerce generate large volumes of data every day, but how can they ensure this data creates value and additional revenue for their organizations when they work with their vendors? Thanks to Snowflake, Oney Data successfully set up the new version of a data sharing platform, and it opened the path to a great user experience and a strong increase in value creation and monetization opportunities. Learn how Oney is giving brands guided insights about sales and category management to a very granular level (product and store) with the objective of calculating results on the fly and in record time.
SPEAKER
Elodie Perrigaud
Chief Data Officer, Oney Data
ShopRunner: Connecting Brands with Custom User Defined Functions
ShopRunner connects top retailers and brands to online shoppers. Using Snowflake, ShopRunner collects page-view data, as well as detailed information about how our users interact with our pages to optimize the online shopping experience and provide a tailored platform for brands. In this session, we will discuss how we developed custom user-defined functions (UDFs) using open source JavaScript libraries and webpack and how we integrated them into Snowflake for our analytics platform.
SPEAKER
Hussain Bohra
Data Engineer, Shoprunner
Square: Rapid Migration and Scaling with Snowflake
Find out how, in just six short months, Square migrated a petabyte of data to Snowflake, along with all of its ETL and supporting systems. This intricately coordinated effort across dozens of decentralized data teams and hundreds of developers culminated in a mostly smooth transition. Today, Square has over 2,000 daily users and thousands of reports and hundreds of ETL jobs completing with minimal oversight from infrastructure teams.
SPEAKER
Randy Wigginton
Director, Platform Engineering, Square
Warner Media’s Analytics & Insights Journey with Looker and Snowflake
Brought to you by Looker
Warner Media Entertainment, News, and Sports (formerly Turner) has streamlined its data and insights architecture to give its stakeholders greater access to key data in a well-governed manner. This session will explore our approach to audience, content, and revenue analytics and how we are leveraging Looker and Snowflake. Join us to hear what we learned and best practices as we continue our journey bilding out our center of excellence.
SPEAKER
Robert Jones
VP, Data Platforms & Strategy Operations
Flexible, Powerful & Fast: Data Analysis with Snowflake & Periscope Data
Brought to you by Periscope Data
For today’s modern data teams, speed is of the utmost importance at every step of the data analysis workflow. Data scientists need an analytics platform that can quickly turn their queries into results, but they also need to pair that platform with a powerful warehouse that enables those difficult, complex queries to run without delay. In this presentation, we’ll examine the data workflow of a nationwide online platform who scaled their data analysis efforts dramatically by combined Snowflake’s data warehousing with an analytics and BI platform from Periscope Data to ensure the fastest possible path to insights.
SPEAKER
Ryan Waters
Sales Engineering Manager
Genome Analytics in Snowflake
The cost of genome sequencing continues to plunge and consumer services for genomics insights continue to blossom. Analyzing genomics data and joining it to medical records and scientific repositories is a fast-growing area of innovation in health management and medical research. Learn how Snowflake uniquely offers high-performance query capabilities for genomics data at scale.
SPEAKERS
Stuart Ozer
Field CTO, Snowflake
Todd Crosslin
VP of Healthcare, Snowflake
Stephanie Stillman
Product Manager, Snowflake
Get the Most Out of Snowflake for BI and Analytics
Learn how to best use Snowflake for your analytics, visualization, and BI tools. We’ll show you how to optimize complex queries, address concurrency with dedicated virtual warehouses, and access semi-structured data. Snowflake’s sales engineers will present this session with several BI partners, including Tableau.
SPEAKERS
Alan Eldridge
Director of Sales Engineering, Snowflake
Michael Kravec
Sales Engineer, Snowflake
How Modern Data Hub Is Changing The Landscape of Data Warehousing & BI
Brought to you by Bigdata Dimension Labs
Data engineering has changed. Due to the heavy maintenance, operational, and performance costs involved in legacy data warehouses & BI, the organization is rapidly moving towards cloud platforms. Now the big question is – how to feed these next-generation warehouses & make your BI more agile? To solve this mystery, a whole new data model is taking shape where modern data hub is transforming the data warehousing & BI paradigm.
SPEAKER
Javed Syed
VP of Analytics & Product Engineering, Bigdata Dimension Labs
How Snowflake Uses Snowflake - A Tour of Snowhouse
How far would your organization advance if a modern data warehouse were at the center of its data strategy? As a fast-growing and data-driven company, Snowflake is one of the largest consumers of Snowflake. Learn how we’ve put our own data warehouse at the center of nearly everything we do, from business intelligence to predictive analytics, billing, and customer-facing data products.
SPEAKER
Scott Hoover
Director of Analytics, Snowflake
Insanely Fast SQL Queries: Effective Pruning and Clustering
Proper clustering strategies deliver big gains in SQL query performance. Hear from Snowflake engineers about how to maximize the benefits of proper clustering keys and the resulting pruning during query execution.
SPEAKERS
John Clarke
POC Engineer, Snowflake
Joe Cramer
Sales Engineer, Snowflake
Preview of Snowflake Next Generation SQL Worksheets
Worksheets are the place where SQL queries happen. Come see a demo of the future of worksheets in Snowflake, including autocomplete, collaboration and visualization of data, and learn how to get early access to the newest version within Snowflake.
SPEAKER
Chris Child
Product Manager, Snowflake
Snowflake Query Optimizer and Query Profiles - A Closer Look
Join Snowflake’s engineering and product management team to get an in-depth look at Snowflake’s query optimizer, including an overview of capabilities and detailed internal steps. This session will also cover how to navigate and interpret the information provided by the query profile screen.
SPEAKERS
Allison Lee
Engineering Manager, Snowflake
Andrew Meyendorf
Product Manager, Snowflake
Snowflake for Security Monitoring and Analytics - The Snowflake Success Story
Learn how Snowflake uses Snowflake to successfully identify sophisticated cyberthreats and proactively address cloud security gaps. By leveraging our data warehouse, data sharing, and a diverse partner ecosystem, Snowflake achieves high-fidelity threat detection, reducing false positives by 99%, while cutting costs by 90% and reducing manual activities from five daily hours to 15 minutes. Attend this session to see examples of how Snowflake’s Infosec team also uses Snowflake for identifying, tracking, and reporting cloud misconfigurations issues and compliance violations.
SPEAKERS
Mario Duarte, VP of Security, Snowflake
Omer Singer, Sr. Director of Security, Snowflake
Snowflake for Support & Success Analytics : A Paradigm Shift from Reactive to Proactive
What if you could find potential customer issues before they occur? That’s exactly how Snowflake’s Support and Success team uses Snowflake to be more proactive with you, our customers. In this session, learn how to build an automated system to analyze metadata and watch for anomalies so your Support and Success team members can proactively resolve issues or contact customers to offer suggestions. You’ll learn the details of the automation process, the kinds of anomalies discovered, and what metrics to use to gauge effectiveness.
SPEAKER
Sumina Verma
VP, Customer Support & Success, Snowflake
Snowflake+Sigma: A New Era of Business Intelligence Built for the Cloud
Brought to you by Sigma Computing
Building a data-driven culture is easier said than done. But that’s all changing with Sigma and Snowflake—an entirely new approach to cloud BI and analytics. See how companies like Lime, Clover, and Navis have made data accessibility a central tenet of company culture and eliminated the endless cycles of data frustration along the way.
SPEAKER
Rob Woollen
CEO, Sigma Computing
Using Snowflake to Improve Consumer Marketing
People based marketing is the new approach to driving marketing effectiveness. Snowflake and Segment will demo how to create powerful, personalized marketing campaigns leveraging valuable 1st party data.
SPEAKER
Bill Stratton
Vice President of Media Industry Strategy, Snowflake
Exploring Semi-Structured Data in Snowflake
In this lab, you’ll explore weather data in a VARIANT format. You’ll extract certain values from the VARIANT data and leverage your existing SQL skills to view the high temperatures by city for the past 24 hours. You’ll then create semi-structured objects from existing relational sample data.
SELF-PACED
Salesforce = Snowforce ... Cleaned Salesforce Data with Stitch and Snowflake
Brought to you by Trianz
Doing sales forecasting out of Salesforce was problematic due to manually entered data. Learn how Salesforce used a combination of Stitch, Looker, and Snowflake as its data provider to fix data inconsistencies, incorporate other data, and increase the accuracy of its sales forecasts.
SPEAKER
Andrew Crider
Director of Analytics, Trianz
Snowflake Your Data: Fast, Easy BI with Snowflake
Brought to you by Interworks
Despite years of hype and promise, BI is too often a complex, slow, and cumbersome process. Come learn how to get rapid insight and easily managed, scalable performance in this hands-on session with InterWorks, the winner of Snowflake’s and Tableau’s 2018 Partner of the Year awards.
SPEAKER
Ben Young
Solutions Lead, Interworks