Oliver Draese

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Vijayshankar Raman10
Richard Sidle10
Lin Qiao9
Guy M. Lohman8
Knut Stolze6
10Guy M. Lohman
10Stratos Idreos
10Richard Sidle
10Vijayshankar Raman
8Ronald Barber

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Publication Year

2009
2014

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Co-author

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Business Analytics in (a) Blink
The Blink project's ambitious goal is to answer all Business Intelligence (BI) queries in mere seconds, regardless of the database size, with an extremely low total cost of ownership. Blink is a new DBMS aimed primarily at read-mostly BI query processing that exploits scale-out of commodity multi-core processors and cheap DRAM to retain a (copy of a) data… (More)
Bringing BLINK Closer to the Full Power of SQL
BLINK is aprototype of an in-memory based query processor that exploits heavily the underlying CPU infrastructure. It is very sensitive to the processor'scaches and instruction set. In this paper,w ed escribe howt oc lose twom ajor functional gaps in BLINK, which arise from real-world workloads. The manipulation of the data maintained by BLINK require… (More)
Joins on Encoded and Partitioned Data
Cloudera Oracle • LinkedIn ABSTRACT Compression has historically been used to reduce the cost of storage , I/Os from that storage, and buffer pool utilization, at the expense of the CPU required to decompress data every time it is queried. However, significant additional CPU efficiencies can be achieved by deferring decompression as late in query processing… (More)
Technical Introduction to the IBM Smart Analytics Optimizer for DB2 for System z
The IBM Smart Analytics Optimizer for DB2 for z/OS is a new technology to extend existing data warehouse environments on IBM mainframe systems. It is a workload optimized appliance that enables customers to analyze huge amounts of data in a matter of seconds instead of minutes or hours by delivering unmatched performance. This doesn't only allow "… (More)
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