Oliver Draese

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. Expand

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. Expand

The Blink project’s ambitious goals are to answer all Business Intelligence (BI) queries in mere seconds, regardless of the database size, with an extremely low total cost of ownership. Expand

In this paper, we describe how to close two major functional gaps in BLINK, which arise from real-world workloads. Expand

In this paper, we describe how the IBM z14 processor, together with Db2 for z/OS Version 12, can improve data compression rates and thus reduce data storage requirements and cost for large databases. Expand

The IBM Smart Analytics Optimizer for DB2 for z/OS is a new technology to extend existing data warehouse environments on IBM mainframe systems. Expand