Dolphin CEO on Optimizing SAP NetWeaver BW with NLS

Dolphin CEO Werner Hopf is published in an SAPInsider Special Report on Business Intelligence. Dr. Hopf presents a compelling case for innovative use of nearline storage (NLS)—optimized for analytics with a columnar databaseto both improve performance and lower the cost of SAP NetWeaver BW systems. Nearline storage is particularly applicable to BW applications because more static data is needed for longer periods of time—requiring a different approach than traditional data archiving for SAP ERP systems. Incorporating a column-based storage technology for nearline data delivers cost and performance advantages. Hopf writes:

When companies combine column-based database archiving with nearline storage, the results include dramatically faster search and query performance—and lower operating costs. Moving data into the nearline archive can instantly reduce online database strain and ease long-term database growth. Business users can perform queries using nearline, archived data at near online speeds.
Read the whole article here.

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Dolphin CEO on Optimizing SAP NetWeaver BW with NLS

Dolphin CEO Werner Hopf is published in an SAPInsider Special Report on Business Intelligence. Dr. Hopf presents a compelling case for innovative use of nearline storage (NLS)—optimized for analytics with a columnar databaseto both improve performance and lower the cost of SAP NetWeaver BW systems.

Nearline storage is particularly applicable to BW applications because more static data is needed for longer periods of time—requiring a different approach than traditional data archiving for SAP ERP systems. Incorporating a column-based storage technology for nearline data delivers cost and performance advantages.

Hopf writes:

When companies combine column-based database archiving with nearline storage, the results include dramatically faster search and query performance—and lower operating costs. Moving data into the nearline archive can instantly reduce online database strain and ease long-term database growth. Business users can perform queries using nearline, archived data at near online speeds.

Read the whole article here.