Shutterfly has selected Teradata to provide and support deployment of a Data Warehouse. The purchase includes Teradata QueryGrid®, for seamless data and systems integration and, in addition, a Teradata Appliance for Hadoop. Also included in the agreement are Teradata Managed Services, Oracle Migration Services, Education Services, and a Business Consulting Architecture Roadmap. The deployment has been launched and is now in full production using Teradata in-database “R” Analytics. With seven brands and six acquisitions in the last four years, Shutterfly is adjusting to rapid business growth and merchandise extensions, leading to increasing data volumes, complexity, and changing user behavior across multiple devices. In addition, capacity and analytical capabilities in its existing data environment have not kept pace with the explosion of big data and its emerging data sources and types.
“The Teradata field team has served as a trusted advisor in a complex world of big data; they understood our unique requirements. As a result, they proposed relevant solutions and services for increasing performance, enhancing user access with Data Labs, improving system and workload management, and the addition of Teradata in-database “R” Analytics,” said Sarang Kirpekar, vice president of Data Products and Science, Shutterfly. “This all adds up to Teradata providing the best integration and analytics tools with the expertise to help us create a powerhouse analytic environment -- and discover the actionable insights we need to fully realise our vision as a data-driven business.” “In addition to our solution and services package, Teradata’s Hadoop interoperability and native JSON support will enable new discovery functionality for Shutterfly,” said Paul Forrester, retail vice president, Teradata. “We appreciate the ongoing collaboration with Shutterfly’s customer insight teams, their analytics specialists and data science teams. We expect great things as we provide their business with the guidance they need to identify new opportunities to monetize their growing treasury of strategic data assets.”
