eBay Pioneers Analytics as a Service on Teradata Foundation
LAS VEGAS — eBay, the world’s largest trading community, is pioneering enterprise analytics as a service, working with Teradata Corporation (NYSE:TDC), the world’s largest company solely focused on data warehousing and enterprise analytics.
To support the effort, eBay has the distinction of running the world’s largest commercial enterprise data warehouse (EDW) environment at 5 petabytes, powered by Teradata.
On Tuesday, October 14, beginning at 11 AM PDT at the Teradata PARTNERS User Group Conference in Las Vegas, Oliver Ratzesberger, senior director, architecture and operations for eBay Inc., will detail how eBay conceived, designed and implemented the new capability.
eBay has combined the agility and ease of use of data marts with the advantages of a centralized data warehouse by selecting a platform with massively parallel processing capability. This approach has given eBay an advanced self-service model that allows groups to leverage virtual systems for their individual or department needs, at a cost that undercuts any data mart or cascaded systems implementation.
Over 50 business units at eBay run test environments on the EDW at any given time, with each test having a lifespan of 90 days. Using analytics as a service for rapid prototyping enables the eBay teams to quickly experiment with ideas and learn fast, thus improving time to market. “Because the main data is already in the enterprise data warehouse, we can offer prototyping environments at no cost to business units,” said Ratzesberger. “This helps eBay keep our competitive edge.”
* eBay began using Teradata solutions in 2002 with a single 14-terabyte system.
* Today eBay processes 50 petabytes of information each day while adding 40 terabytes of data each day as millions buy and sell items across 50,000 categories.
* A petabyte holds 1,024 times as much data as a terabyte. If every PC had a 50-gigabyte hard drive, storing a petabyte would take 20,000 PCs.
* Over 5,000 business users and analysts turn over a terabyte of data every eight seconds. Raising parallel efficiency, the effectiveness of distributing large amounts of workload over pools and grids of servers equals millions in operating expense savings.
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