Enhancing the performance of distributed big data processing systems using Hadoop and Polybase

Minukhin, Sergii; Fedko, Victor; Gnusov, Yurii

doi:10.15587/1729-4061.2018.139630

EEJET

2018

DOI: 10.15587/1729-4061.2018.139630

|View full text |Cite

Enhancing the performance of distributed big data processing systems using Hadoop and Polybase

Sergii Minukhin

Victor Fedko

Yurii Gnusov

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 13 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

Development of a Hybrid Method for Data Warehouse Construction

Koval,

Harasymchuk

2024

CSN

View full text Add to dashboard Cite

The examined approach to building an adaptive and convenient data warehouse goes beyond simple data storage focusing on processing data for various types of reports and analytics. It allows for more efficient use of data resources and ensures a flexible response to changing business needs. This hybrid method combines several techniques and technologies to provide the best possible performance and scalability. The article discusses the main challenges and benefits of this approach and presents a detailed analysis of the architecture and components of the proposed data warehouse system. The results show significant improvements in data processing speed and accuracy compared to traditional methods. Key words: data warehouse hybrid method data processing scalability.

show abstract

Development of a Hybrid Method for Data Warehouse Construction

Koval,

Harasymchuk

2024

CSN

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Enhancing the performance of distributed big data processing systems using Hadoop and Polybase

Cited by 1 publication

References 13 publications

Development of a Hybrid Method for Data Warehouse Construction

Development of a Hybrid Method for Data Warehouse Construction

Contact Info

Product

Resources

About