INTELLIGENT DATA ANALYSIS ON AN ANALYTICAL PLATFORM

Main Article Content

DOI

Dauren Darkenbayev

dauren.kadyrovich@gmail.com

https://orcid.org/0000-0002-6491-8043
Arshyn Altybay

arshyn.altybay@gmail.com

https://orcid.org/0000-0003-4939-8876
Zhaidargul Darkenbayeva

zhaidargul.d@mail.ru

https://orcid.org/0000-0003-3756-0581
Nurbapa Mekebayev

nurbapa@mail.ru

https://orcid.org/0000-0002-9117-4369

Abstract

The article discusses methods for processing unstructured data using an analytical platform. The authors analyze existing methods and technologies used to implement data processing and propose new approaches to solving this problem. The possibilities of using analytical platforms to solve the problem of processing source data are considered. The purpose of the article is to explore the possibilities of data import, partial preprocessing, missing data recovery, anomaly removal, spectral processing and noise removal. The authors explored how analytics platforms can function without a data warehouse, obtaining information from any other sources, but the most optimal way is to use them together, and how big data and unstructured data can be processed using an analytics platform. The authors solved a specific problem related to processing problems and proposed ways to solve them using an analytical platform. Particular attention is paid to a complete set of mechanisms that allows you to obtain information from any data source, carry out the entire processing cycle and display the results. Overall, the paper represents an important contribution to the development of raw data processing technologies. The authors plan to continue research in the field of processing big unstructured data.

Keywords:

raw data, processing, analytical platform, technology, analysis

References

Article Details

Darkenbayev, D., Altybay, A., Darkenbayeva, Z., & Mekebayev, N. (2024). INTELLIGENT DATA ANALYSIS ON AN ANALYTICAL PLATFORM. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(1), 119–122. https://doi.org/10.35784/iapgos.5423