In the fourth and final part of the article, we will perform some analytical queries on the MySQL database and create a dashboard using Streamlit.
In the third part of the article, we will demonstrate how to ingest and process transactional data using Kafka and Spark Streaming.
In the first part of the article, we will discuss the overview of the project and how to set up the environment using Docker Compose.
In the second part of the article, we will walk through the design and implementation of OLTP and OLAP databases using Cassandra and MySQL respectively.
This article explains how to set up a workflow using Apache Airflow to retrieve trending videos data from YouTube Data API v3 and store them in BigQuery.
End-to-end machine learning project on sentiment analysis. In this post, we will explore some use cases of Twitter sentiment analysis in the field of business and social science.
End-to-end machine learning project on sentiment analysis. In this post, we will walk through the steps of creating a dashboard and deploying our model as a web app with Streamlit.
End-to-end machine learning project on sentiment analysis. In this post, we will walk through the steps of data preprocessing and model building.
End-to-end machine learning project on sentiment analysis. In this post, we will walk through the data collection process with distant supervision method.