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Student Projects

Brew Review

Made by Don’t Stop Beerlieving Review your brew! All team members came up with an idea and we narrowed it down to a winner following a vote. The winner was Brew Review which is an app that allows users to view information about beers and breweries, to post reviews on existing beers in the Brew…

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Wedgwood

Made by Team Wedgwood Pipelines, not pottery! We created an Extract, Transform and Load data pipeline to practise our skills. This was based on the provided totesys database and designed to ensure data integrity, cost-efficiency, and ease of access for business intelligence purposes. The Team Arman Mestari With a strong foundation in data engineering and…

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Trent

Made by Team Trent We move data so you don’t have to! Data Engineering showcasing an ETL Process. The project used CI/CD processes and agile methodology. The Team Annette Alcasabas Annette really likes coding in Python and although this was… a challenging project, she liked the whole experience! Eashin Matubber A passionate and results-driven Software…

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Duck

Made by Team Duck Quacking the code, one pipeline at a time Terrific Totes – Cloud-Based Data Pipeline The Team Monika Kaploniak I am an engineer with two years of professional experience… in software development, having transitioned from a successful career in finance. I’ve always been drawn to the dynamic and problem-solving nature of tech,…

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Stoke

Made by Team Stoke Stoke usage has been trending downwards The project was a chance for us to showcase the skills and knowledge we have learnt over the last couple of months during our bootcamp, we did this by creating an Extract, transform, load pipeline, for the minimum viable product of the project specification. we…

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Stoke

Made by Team Stoke Stoke usage has been trending downwards The project was a chance for us to showcase the skills and knowledge we have learnt over the last couple of months during our bootcamp, we did this by creating an Extract, transform, load pipeline, for the minimum viable product of the project specification. we…

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Splash World

Made by Team Splash World Driven by data. Powered by teamwork. We were approached by our client, Terrific Totes, a tote bag retailer, to build a data pipeline that extracts, transforms, and loads (ETL) sales data from their OLTP database (“Totesys”) into an OLAP data warehouse. The aim was to make their sales data more…

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Spitfire

Made by Team Spitfire A Data Engineering project The aim of the project was to apply key skills picked up during the Northcoders bootcamp, to real-world, business requirements. We were tasked with helping a fictional company to create a platform for managing their enterprise data. We implemented a pipeline to move and transform data from…

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Southport Pier

Made by Team Southport Pier It’s more than a bag, it’s a feature! This is an end-to-end ETL pipeline for a tote bag business. It pulls data from their database into a data warehouse for future analysis. In this projet, three lambda applications were created using psycopg2 and boto3. They were deployed in the AWS…

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Royal Blue

Made by Royal Birkdale ain’t no birkdale, we blue The purpose of this repository is to build an entire ETL (Extract, Load, Transform) data pipeline in AWS (Amazon Web Services). Extracting data from an OLTP (Online Transaction Processing Database) PostgreSQL database and loading it into an OLAP (Online Analytical Processing Database) database. The data is…

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Pottery

Made by Team Pottery Team Pottery: Crafting Code, Firing Up Success! Our Terrific Totes Project utilised an ETL pipeline orchestrated by a Step Function triggered every 30 minutes . Our Extract Lambda Handler connects to the Totesys database, checking for new data. Any new data found is then added to our S3 ingestion bucket as…

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Oatcake

Made by Team Oatcake Putting ‘oat’ in tote! Implemented and deployed an automated ETL pipeline, integrated with AWS, for a simulated global tote bag business. The Team Beth Suffield I have a background in Digital Marketing and SEO, and… particularly enjoyed the technical side of these roles. I am especially motivated by the exciting advancements…

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