A simple data processing framework for a quick, no-frills setup of a local data pipeline.
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Updated
May 28, 2024 - Python
A simple data processing framework for a quick, no-frills setup of a local data pipeline.
Introduction to the data pipeline management with Airflow. Airflow schedule and maintain numerous ETL processes running on a large scale Enterprise Data Warehouse
Python | ETL | Google APIs
This repository contains Data Engineering solution using ETL (Extract, Transform, Load) implementation for the sales data analysis of Apple products. The solution is designed to handle diverse data formats and is implemented on Databricks using PySpark, Python, and Databricks utilities.Factory Method Design Pattern has been implemented for reading.
Framework to write ETL Pipelines controlled by a central config store.
Python package that enables customized loading of data from a CSV file into a MySQL database
Bamboo Connect is a lightweight ETL (Extract, Transform, Load) library with examples and templates. It enables developers to quickly extract, transform, reconcile and then load resulting data securely. This avoids time consuming manual error prone tasks.
This project focuses on scraping data related to Japanese Whiskey from the Whiskey Exchange website; performing necessary transformations on the scraped data and then analyzing & visualizing it using Jupyter Notebook and Power BI.
Shetland: A python DSL to handle ETL with OGR
Utility for performing tasks on dataframes.
An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
Simple and extensible PySpark ETL framework
An extension that registers all pharmacies in Argentina.
Stupidly Simple Storage with python decorators
Tiny Blocks to build large and complex data pipelines!
excel, markdown, csv, sql 数据源批量/单独格式互相转换
A Python and Spark based ETL framework. While it operates within speed limits that is framework and standards, but offers boundless possibilities.
A Python library for iterative and interactive data wrangling at laptop-scale.
This is the second version of the Google Serch Trends API. Having completed the initial testing of the first version. The next step was to create a series of functions in line with the principles of object-oriented programming. Initially was created in a linear format as a proof of concept. Later split the code into five main functions.
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