Citation :

Dhamotharan Seenivasan, Muthukumaran Vaithianathan, 2023. "Real-Time Adaptation: Change Data Capture in Modern Computer Architecture" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 2: 49-61.

Abstract :

Text summarising is a method for taking the most crucial information from various texts, compressing it, and keeping the text's overall meaning. Rarely does one need to read reams of documentation to get the gist of a topic; frequently, a brief synopsis is adequate. Automatic Text Summarization (ATS) can be useful in this situation by compressing the text and gathering important information in one place. Only the important sentences from the original document are recognized by the extraction techniques and extracted from the text. As a result, it is more difficult when using abstractive summarization approaches, which create the summary after reading the original text. In this paper, we implemented text summarization using the t5 algorithm and evaluated it based on different criteria, such as the amount of compression or summarization, the amount of meaning lost, and the number of grammatical errors. We also made sure that the information we got from the output was accurate and useful.

References :

[1] Change Data Capture. https://www.qlik.com/us/change-data-capture/cdc-change-data-capture#:~:text=CDC%20is%20a%20very%20efficient,multiple%20systems%20stays%20in%20sync.

[2] https://www.confluent.io/learn/change-data-capture/

[3] Steps to Perform Change Data Capture, hevodata. https://hevodata.com/learn/change-data-capture/

[4] Babcock, C., "Stream Processing with Apache Kafka and Apache Flink," Journal of Real-Time Data Processing, vol. 12, no. 4, pp. 234-245, 2023.

[5] Jabin Geevarghese George, Leveraging Enterprise Agile and Platform Modernization in the Fintech AI Revolution: A Path to Harmonized Data and Infrastructure, vol. 6, no. 4, pp. 88-94, 2024.

[6] Dhamotharan Seenivasan, "ETL (Extract, Transform, Load) Best Practices," International Journal of Computer Trends and Technology, vol. 71, no. 1, pp. 40-44, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I1P106

[7] Ganesh, A. ., & Crnkovich, M., (2023). Artificial Intelligence in Healthcare: A Way towards Innovating Healthcare Devices. Journal of Coastal Life Medicine, 11(1), 1008–1023. Retrieved from https://jclmm.com/index.php/journal/article/view/467

[8] Dhamotharan Seenivasan, "Exploring Popular ETL Testing Techniques," International Journal of Computer Trends and Technology, vol. 71, no. 2, pp. 32-39, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I2P106

[9] Dhamotharan Seenivasan, "Improving the Performance of the ETL Jobs," International Journal of Computer Trends and Technology, vol. 71, no. 3, pp. 27-33, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I3P105

Keywords :

Change Data Capture, Real-time analytics, Data integration, Log-based CDC, Trigger-based CDC, timestamp-based CDC, Data consistency, Cloud computing, Distributed databases, Machine learning.