Dictionary Encoding

Hasso Plattner
Additional contact information
Hasso Plattner: Hasso Plattner Institute

Chapter Chapter 6 in A Course in In-Memory Data Management, 2014, pp 39-44 from Springer

Abstract: Abstract Since memory is the new bottleneck, it is required to minimize access to it. Accessing a smaller number of columns by only querying required attributes can do this on the one hand. On the other hand, decreasing the number of bits used for data representation can reduce both memory consumption and transfer times.

Keywords: Attribute Vector; Compression Rate; Memory Consumption; Compression Technique; Lossless Compression (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55270-0_6

Ordering information: This item can be ordered from
http://www.springer.com/9783642552700

DOI: 10.1007/978-3-642-55270-0_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().