![]() ![]() Joining the classified movie review data and user purchase data to get user behavior metric data.Extracting user purchase data from an OLTP database and loading it into the data warehouse.Loading the classified movie reviews into the data warehouse.Classifying movie reviews with Apache Spark.We will be using Airflow to orchestrate the following tasks: movie_review.csv: Data sent every day by an external data vendor.user_purchase: OLTP table with user purchase information.The user_behavior_metric table is an OLAP table, meant to be used by analysts, dashboard software, etc. We are tasked with building a data pipeline to populate the user_behavior_metric table. Let’s assume that you work for a user behavior analytics company that collects user data and creates a user profile. If you are interested in a local only data engineering project, checkout this post If you are interested in a stream processing project, please check out Data Engineering Project for Beginners - Stream Edition Learn how to design and build a data pipeline from business requirements. Learn how to spot failure points in data pipelines and build systems resistant to failures. Set up Apache Airflow, AWS EMR, AWS Redshift, AWS Spectrum, and AWS S3. Looking for a good project to get data engineering experience for job interviews. Looking for an end-to-end data engineering project. ![]() Wanting to work on a data engineering project that simulates a real-life project. If you areĪ data analyst, student, scientist, or engineer looking to gain data engineering experience, but are unable to find a good starter project. Setting up a data engineering project, while conforming to best practices can be extremely time-consuming. 5.2 Loading classified movie review data into the data warehouseĪ real data engineering project usually involves multiple components.5.1 Loading user purchase data into the data warehouse. ![]()
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