bigdata-cole-framework 0.1.0

A short description of your project

Modular ETL Framework

About

This framework is designed for Extract - Transform - Load (ETL) operations, allowing you to process data from multiple source systems and load it into HDFS (Hadoop Distributed File System).

Architecture

Extract flowchart

Transform flowchart

Project Tree

├── src

│ ├── config

│ ├── extract

│ ├── transform

│ ├── load

│ └── db_interaction

├── logs

├── tests

├── data

├── docs

├── output

├── .gitignore

├── config.ini

├── etl_db.db

├── main.py

├── requirements.txt

└── README.md

Descriptions

• src: Main source code directory.
  • config: Configuration files for the ETL process.
  • extract: Code for extracting data from source systems.
  • transform: Code for transforming the extracted data.
  • load: Code for loading the transformed data into HDFS.
  • db_interaction: Code for interacting with databases if needed.
• logs: Directory for storing log files generated during ETL process.
• tests: Directory for unit tests and testing-related files.
• data: Storage for input or intermediate data.
• docs: Documentation related to the ETL framework.
• output: Directory for final output files or data.
• .gitignore: File specifying excluded files/directories from version control.
• config.ini: Configuration file for connection details, API keys, etc.
• etl_db.db: Local database file if used.
• main.py: Main entry point for the ETL framework.
• requirements.txt: List of required Python packages.
• README.md: Main project documentation in Markdown.

Features

This ETL framework includes the following core features:

• Extract: Fetch data from various source systems.
• Transform: Clean, process, and transform the extracted data.
• Load: Load the transformed data into HDFS.

Tech Stack

The framework utilizes the following technologies:

• Programming Language: Python
• ETL Libraries/Frameworks: (Specify if applicable)
• Database System: (Specify if applicable)
• HDFS Setup: (Specify if applicable)

Installation

Follow these steps to set up the ETL framework:

1. Clone this repository: git clone <repository_url>
2. Navigate to the project directory: cd ETL_Framework
3. Install required packages: pip install -r requirements.txt
4. Configure settings in config.ini as needed.

How to Use

Perform ETL operations using the following steps:

1. Navigate to the project directory: cd ETL_Framework
2. Run the ETL process: python main.py
3. Monitor the logs in the logs directory for progress and issues.
4. Find the final output in the output directory.

For more detailed information, refer to the documentation provided.

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