Developing Business Intelligence Applications with Python
Business Intelligence (BI) refers to the process of analyzing, interpreting, and presenting data to make informed business decisions. Python is a powerful programming language with many libraries and tools that make it ideal for developing BI applications. In this post, we'll discuss the various steps involved in creating a BI application using Python. Data Extraction The first step in any BI application is to extract data from various sources, such as databases, APIs, or files. One popular library for working with databases in Python is SQLAlchemy . Here's an example of how to connect to a database and query data using SQLAlchemy: from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker DATABASE_URI = "sqlite:///example.db" engine = create_engine(DATABASE_URI) Session = sessionmaker(bind=engine) session = Session() result = session.execute("SELECT * FROM orders") for row in result: print(row) session.close() ...