Big Data at Sears

Sears plus its acquired entity Kmart belong to Sears Holdings whose goal is to get closer to its customers. That requires big time analytic capabilities. While revenue at Sears has declined from $50B in 2008 to $42B in 2011, rivals like Wal-Mart. Target and Amazon have grown steadily with better profit. Amazon’s retail business has gone from $19B in revenue in 2008 to $48B in 2011, passing Sears for the first time.

Sears used IMS (IBM’s first generation database product) on mainframe plus Teradata. Its ETL process using IBM DataStage software on a cluster of distributed servers took 20 hours to run. Since their adoption of Hadoop back in 2010, one of the steps (taking 10 hours out of the 20 hours) ran at 17 minutes. Their slogan is “ETL must die”, as they would like to load raw data directly to Hadoop. The old systems consisted of EMC Greenplum, Microsoft SQL Server, and Oracle Exadata (four boxes) for analytical workload. That is all being replaced by Hadoop, Datameer, MySQL, InfoBright, and Teradata.

read more