Integrating and Streaming Data
Data warehouses are at the center of any modern data platform. They have to integrate well with various data sources, business applications, analytics engines, business intelligence, and ETL tools. The sheer number of connections and integration points makes integrating structured and semi-structured data nearly impossible for legacy on-premise and cloud data warehouses. In this track, hear from fellow Snowflake customers and learn how to simplify your data platform and reduce latency for your analytics with Snowflake. You’ll learn what’s possible with migrating, loading, and integrating varying data and data sources into a single locations – Snowflake.
Integrating and Streaming Data Sessions
Converging Disparate Data Sources to Provide Better Client Experiences
Based in Australia, FLG is Asia-pacific’s leading health and wellness group. With 10 different brands, over 470 locations, and more than 725,000 members, FLG generates massive amounts membership-based data. Faced with a rapidly growing number of disparate data sources, this session will cover why FLG selected Snowflake and Matillion ETL for Snowflake to modernize its data warehouse, streamline data operations, and quickly gain valuable business insights.
Fitness Lifestyle Group
Moving to Snowflake for Advanced Data Capabilities
Are you getting the most out of your data analytics platform, whether it’s Snowflake or a data platform that includes Snowflake? Learn why Minted, an online marketplace, chose to migrate its data to Snowflake and the positive impact that decision has had on its business decisions and culture, and how Fivetran made the migration easy and possible. Minted will also discuss the value add of the Salesforce and MySQL connectors from Fivetran to its modern data stack and how the Snowflake-Fivetran combination has improved data access across the organization.
Get the Most out of Your Migration to the Cloud
Have you achieved all of your data analytics goals by moving from on-premise to the cloud? DocuSign needed to efficiently move large amounts of data and ensure its data remained secure in transit. After an in-depth evaluation, DocuSign selected Snowflake and Matillion ETL for Snowflake to facilitate its journey to the cloud, and meet its well-defined goals around performance, scale, security and cost savings. Attend this session and you’ll also learn how Snowflake and Matillion helped DocuSign improve its business intelligence infrastructure, lower costs, meet data governance requirements, and improve performance.
PACCAR: A Data-Driven Business Moving Trucks and More
PACCAR is a global technology leader in the design, manufacturing and customer support of premium light, medium, and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. Learn how PACCAR is continuously migrating data to Snowflake from a wide variety of sources, including SQL Server, DB2 on iSeries, DB2 on zOS, IMS, Oracle, SAP, and AWS sources, then using it to enable analytics, master data management, and application modernization workloads.
REI: Taking Real-time Data for a Hike
REI is a national outdoor retail co-op dedicated to inspiring, educating and outfitting its members and the community for a lifetime of outdoor adventure and stewardship. This session will focus on REI’s journey into near real-time and self-service analytics, describing how and why the organization chose Snowflake and Attunity for the foundation of the co-op’s next-generation analytics platform.
Discussion points will include how REI used Attunity’s change data capture (CDC) technology to move real-time data from multiple sources (Oracle, SQL, and DB2) to the Snowflake Enterprise Data Warehouse on AWS, then use it for supply chain and SKU analysis.
Snowflake Data Pipelines
Modern data warehouse architectures can’t afford stale data. New data is constantly born and business users expect up-to-date results in their reports. In this session, you will learn how to automate your data loading and transformation in Snowflake for truly continuous data pipelines.