Extracting data from Twitter using Python
Transforming data using Python and pandas
Deploying code onto an EC2 machine running Airflow
Storing data onto Amazon S3
Requirements for the project: laptop, internet connection, Python installed, basic knowledge of Python, AWS account, discipline
What is Airflow?
—Airflow is an open-source workflow management platform used for data engineering pipelines. It allows you to build, schedule, and monitor data pipelines.
What is ETL?
—ETL stands for Extract, Transform, Load. It is a process in data integration where data is extracted from various sources, transformed to fit the desired format, and loaded into a target database or data warehouse.
What is an EC2 machine?
—EC2 stands for Elastic Compute Cloud. It is a web service provided by Amazon Web Services (AWS) that allows users to rent virtual servers in the cloud.
What is Amazon S3?
—Amazon S3 (Simple Storage Service) is an object storage service provided by AWS. It allows users to store and retrieve large amounts of data on the internet.
What are the prerequisites for this project?
—The prerequisites for this project include a laptop with an internet connection, Python installed, basic knowledge of Python, an AWS account, and discipline to work through any challenges that may arise.
00:00Introduction to the project and overview of the tasks involved
03:00Prerequisites for the project: laptop, internet connection, Python installation, basic knowledge of Python, AWS account, discipline
08:00Getting access to the Twitter API: creating a Twitter account, creating an application, obtaining API keys
11:30Writing the code to extract and transform data from Twitter using Python
15:45Deploying the code onto an EC2 machine running Airflow
18:20Storing the data onto Amazon S3
