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Business Analytics in (a) Blink
TLDR
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
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Joins on Encoded and Partitioned Data
TLDR
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
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Blink: Not Your Father's Database!
TLDR
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
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Bringing BLINK Closer to the Full Power of SQL
TLDR
In this paper, we describe how to close two major functional gaps in BLINK, which arise from real-world workloads. Expand
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New database compression assists in the IBM z14 processor
TLDR
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
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Technical Introduction to the IBM Smart Analytics Optimizer for DB2 for System z
TLDR
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
Data-occurrence information for data compression
A computerized method for encoding or compressing a file, said data occurrences of data values ​​generated for coding the file, comprising the steps of: (A) dividing the file into a plurality ofExpand