In this research, I aimed at a streamlined architecture that can support a huge amount of data using NoSQL and Kafka inside a strange world which I don’t have much experience in the real world. The streaming pipeline is a little bit different from batch, however, at the same time is almost the same idea (at least for me).
I always heard about web scraping but I have no idea how or what will be the purpose of using it. That was really strange to me because in my projects I always used the corporate system as a source and didn’t use it in any project that I had worked on.
This pipeline provides a comprehensive demonstration of the end-to-end process, excluding the initial data source integration. It encompasses best practices in data modeling (star schema), leverages the power of Spark for distributed computation, and ultimately delivers a compelling outcome in the form of a detailed Power BI report.
Can ChatGPT Serve as an Integrated API for Multilingual Sentiment Analysis? In my pursuit of understanding sentiment analysis (since when I was in my graduation and the term “Data Mining” was hot), I encountered the challenge of effectively integrating the analysis of multiple languages simultaneously.
As a data professional, understand web applications can be quite challenging due to its distinct development landscape. Despite this, I had a idea of creating a straightforward solution that demystifies the entire process and offers a clearly idea how the things works under the hood.