Data pipeline using S3, Glue, Athena, Lambda and Quicksight to analyze dataset of YouTube
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Updated
Jan 13, 2023 - Python
Data pipeline using S3, Glue, Athena, Lambda and Quicksight to analyze dataset of YouTube
This is a command line application to demonstrate a sample ETL pipeline in python. It takes a PostgreSQL dataset that is provided by https://raw.githubusercontent.com/cdvx/etl-python/movies-sql/movielens.sql and transfers the data to MongoDB.
A data pipeline with Docker to perform Sentiment Analysis on tweets and post it on a slack channel via a bot
Repositório dedicado ao programa de captação de talentos da Compass UOL.
This is a PHP project which combines ETL with different strategies to extract data from multiple databases, files, and services, transform it and load it into multiple destinations.
This is a simple ETL Batch processing to extract data, here are messages, stored in a table. transform them into a new object, then insert them in another table
Business Card Extraction WebApp
Implement a basic ETL to synchronize Lightning Network payments
A data pipeline from source to data warehouse using Taipei Metro Hourly Traffic data
ETL (extract, transform, load) pipeline project that involves extracting data from flat files, manipulating and organizing the data through a series of transformation steps, and loading the resulting data into an SQLite database.
Proyecto Individual que desarrolla la limpieza y análisis de un dataset de películas, para crear un modelo de ML de recomendación de peliculas.
A Python and Spark based ETL framework. While it operates within speed limits that is framework and standards, but offers boundless possibilities.
Extracting and loading data from amazon website to create a product details table
ETL step function to parse schedules from roz.kpi.ua and store them in DynamoDB
Project to practice airflow and python - ETL
A comprehensive Business Intelligence (BI) solution tailored for Starboard Adventures, a global cycling equipment manufacturer. Utilizing Power BI Desktop, it empowers executives with intuitive dashboards to track KPIs, compare regional performance, analyze product trends, and identify high-value customers.
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