Covering Disruptive Technology Powering Business in The Digital Age

Teradata, the big data analytics and marketing applications company, revealed that Shutterfly Inc, the leading manufacturer and digital retailer of high-quality personalised photo products and services, 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 behaviour 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.

“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.

Teradata Managed Services is enabling a high-quality, low-cost operational footprint, while Shutterfly is receiving Teradata training for their developers and users.

Teradata is also providing Enterprise Architecture Consulting to develop the “as-is” and “to-be” data and analytics ecosystems, and help shape the future of Big Data Analytics for this fast-growing organisation.

(0)(0)