PROCESSING LARGE DATA SETS USING CLOUD TECHNOLOGIES
DOI:
https://doi.org/10.24867/33BE06TodicKeywords:
Cloud computing, Big Data, BigQueryAbstract
This paper analyzes daily currency exchange rates using the Google BigQuery platform, which enables the processing of large datasets and the prediction of future trends. The data analysis focuses on identifying long-term trends and currency volatility, complemented by graphical representations and predictive models. The emphasis is on BigQuery as a robust cloud tool that offers scalability and speed for executing complex queries. The goal is to demonstrate the potential of cloud technologies and Big Data tools in analysis and strategic decision-making.
References
[1] https://aws.amazon.com/what-is-cloud-computing/ (pristupljeno u septembru 2024.)
[2] https://www.pcmag.com/encyclopedia/term/big-data (pristupljeno u septembru 2024.)
[3] https://cloud.google.com/bigquery/docs/introduction (pristupljeno u septembru 2024.)
[4] https://cloud.google.com/bigquery/docs/create-machine-learning-model#sql (pristupljeno u oktobru 2024.)
[5] https://en.wikipedia.org/wiki/Autoregressive_
integrated_moving_average (pristupljeno u oktobru 2024.)
