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ATUN-HL: auto tuning of hybrid layouts using workload and data characteristics

Author
Munir, R.; Abello, A.; Romero, O.; Thiele, M.; Lehner, W.
Type of activity
Presentation of work at congresses
Name of edition
Conference on Advances in Databases and Information Systems
Date of publication
2018
Presentation's date
2018-09-04
Book of congress proceedings
ADBIS 2018: Advances in Databases and Information Systems - 22nd European Conference
First page
200
Last page
215
DOI
10.1007/978-3-319-98398-1_14
Repository
http://hdl.handle.net/2117/132217 Open in new window
URL
https://link.springer.com/chapter/10.1007%2F978-3-319-98398-1_14 Open in new window
Abstract
Ad-hoc analysis implies processing data in near real-time. Thus, raw data (i.e., neither normalized nor transformed) is typically dumped into a distributed engine, where it is generally stored into a hybrid layout. Hybrid layouts divide data into horizontal partitions and inside each partition, data are stored vertically. They keep statistics for each horizontal partition and also support encoding (i.e., dictionary) and compression to reduce the size of the data. Their built-in support for many ...
Keywords
Auto tuning, Big data, Hybrid storage layouts, Parquet
Group of research
DTIM - Database Technologies and lnformation Management Group
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants