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AWS Data Engineer 30 Days Plan (Python) / of Python Introduction
Python
Python is the main programming language used to write application logic, automation scripts, and data processing workflows. It is easy to read, fast to develop with, and widely used in data engineering and cloud projects. Python allows developers to build APIs, ETL pipelines, and backend services efficiently.
AWS
AWS (Amazon Web Services) provides cloud infrastructure to deploy and run applications. It offers services like storage, computing, and databases. Using AWS helps teams scale applications, reduce hardware costs, and build secure, production-ready systems in the cloud.
Database
A database is used to store and manage application data in a structured way. It allows applications to save, retrieve, and update information reliably. Databases are essential for maintaining persistent data such as user records, transactions, and analytics data.
GitHub
GitHub is a version control platform used to store and manage source code. It enables collaboration between developers, tracks code changes, and maintains project history. GitHub also supports code reviews and automated workflows for modern development teams.
Azure DevOps Board (Jira)
Azure DevOps Board (Jira) is used for task and project management. Teams use it to track features, bugs, and development progress. It helps organize work, assign responsibilities, and monitor deadlines in agile development environments.
Airflow
Apache Airflow is a workflow orchestration tool used to schedule and monitor data pipelines. It automates complex ETL processes and ensures tasks run in the correct order. Airflow is widely used in data engineering to manage large-scale data workflows.
Jenkins
Jenkins is a continuous integration and continuous deployment (CI/CD) tool. It automates building, testing, and deploying applications. Jenkins helps teams release updates faster and maintain consistent software quality.
Confluence
Confluence is a documentation and knowledge-sharing platform. Teams use it to store project documentation, design decisions, and guides. It improves collaboration by keeping important information centralized and accessible.
PyCharm IDE
PyCharm is an integrated development environment (IDE) designed for Python development. It provides features like code completion, debugging tools, and project management support. PyCharm increases developer productivity and helps maintain clean, organized code.