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Sears Holdings: RISC Migration for Big Data and More

Sears Holdings: RISC Migration for Big Data and More

Sears Holdings gains extreme performance for analytics using Apache Hadoop* software and Intel® data center technologies

Company
Sears Holdings operates more than 2,000 full-line and specialty retail stores in the United States through subsidiaries that include Sears, Kmart, and Lands’ End.

Challenge
To stay ahead in the fast changing retail industry, Sears Holdings required a single view of each customer across all its stores and brands. Sears Holdings’ business strategies were being challenged by costly RISC and mainframe platforms that lacked the agility, scale, and performance to effectively handle its growing requirements.

Solution
Sears Holdings’ IT department is three years into a strategy of migrating from RISC and mainframe systems to a private cloud based on Intel® technologies and using Apache Hadoop* software with an Intel®-based cluster to transform its analytics environment. The IT organization is shifting many traditional structured databases and data warehouses onto the Hadoop cluster—either moving them entirely or offloading the transform portion of the extract-transform-load (ETL) sequence. Sears Holdings uses servers and storage controllers powered by the Intel® Xeon® processor E5 family, Intel® 10 Gigabit Ethernet Converged Network Adapters, and QLogic InfiniBand* networks, along with open-source Xen* software for virtualization and iSCSI over Ethernet* for high-speed data transfers.

Read the full Sears Holdings: RISC Migration for Big Data and More Success Brief.

Sears Holdings: RISC Migration for Big Data and More

Sears Holdings gains extreme performance for analytics using Apache Hadoop* software and Intel® data center technologies

Company
Sears Holdings operates more than 2,000 full-line and specialty retail stores in the United States through subsidiaries that include Sears, Kmart, and Lands’ End.

Challenge
To stay ahead in the fast changing retail industry, Sears Holdings required a single view of each customer across all its stores and brands. Sears Holdings’ business strategies were being challenged by costly RISC and mainframe platforms that lacked the agility, scale, and performance to effectively handle its growing requirements.

Solution
Sears Holdings’ IT department is three years into a strategy of migrating from RISC and mainframe systems to a private cloud based on Intel® technologies and using Apache Hadoop* software with an Intel®-based cluster to transform its analytics environment. The IT organization is shifting many traditional structured databases and data warehouses onto the Hadoop cluster—either moving them entirely or offloading the transform portion of the extract-transform-load (ETL) sequence. Sears Holdings uses servers and storage controllers powered by the Intel® Xeon® processor E5 family, Intel® 10 Gigabit Ethernet Converged Network Adapters, and QLogic InfiniBand* networks, along with open-source Xen* software for virtualization and iSCSI over Ethernet* for high-speed data transfers.

Read the full Sears Holdings: RISC Migration for Big Data and More Success Brief.

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