How To Access And Query Your Amazon Redshift Data Using Python And R

• SQLAlchemy

  123 8,716 9.8 Python

  The Database Toolkit for Python

  

As seen in the code above, we will use SQLAlchemy to connect to our Redshift instance using the connection credentials. Then, we use the read_sql method to make a SQL query on the database. Finally, we can load the results directly into a DataFrame and use it for our analysis.

• psycopg2

  19 3,205 7.2 C

  PostgreSQL database adapter for the Python programming language

  

Since Redshift is compatible with other databases such as PostgreSQL, we use the Python psycopg library to access and query the data from Redshift. We will then store the query results as a dataframe in pandas using the SQLAlchemy library.

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• Pandas

  393 41,863 10.0 Python

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  

pandas is a widely-used data analysis library in Python. It provides a high-performance data structure called DataFrame for working with table-like structures.

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