Database Storage Format for High Performance Analytics of Immutable Data

Most of modern database management systems offer a set of data manipulation operations, which strictly limits the available methods of data storage optimization. This article describes a database storage format that provides a low latency access to stored data with highly optimized sequential data e...

Full description

Saved in:
Bibliographic Details
Main Authors: Rovnyagin, Mikhail M., Dmitriev, Sviatoslav O., Hrapov, Alexander S., Maksutov, Artem A., Turovskiy, Igor A.
Format: Conference Proceeding
Language:English
Subjects:
Conferences
data analytics
Data mining
data storage
database index
Indexes
Loading
Measurement
Memory
NoSQL
Optimization
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Most of modern database management systems offer a set of data manipulation operations, which strictly limits the available methods of data storage optimization. This article describes a database storage format that provides a low latency access to stored data with highly optimized sequential data extraction process by prohibiting any data modification after initially loading the data. The current study is aimed at developing a database management system that is suitable for high performance analytics of immutable data and performs better than database management systems with wider applicability. This paper includes developed data storage formats, data load and extraction algorithms and performance measurements.
ISSN:2376-6565
DOI:10.1109/ElConRus51938.2021.9396453