Relational data models

This is a top level repository for code examples related to Data Warehousing and Very Large Databases.

A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.

An open source enterprise data warehousing and analysis platform.

is an hypercube of data

📜 Simple and flexible application to manage configuration data aka lists of values.

Open-source Twitter collection and archiving tool for tracking specific topics and collecting bulk data.

The CEDS Collaborative Exchange is a repository of code developed by the community that interacts with the CEDS Integration Data Store and the CEDS Elements repositories. All resources provided in this community are considered free and open source.

Various Projects on Python related to Data Engineering

Modeled for longitudinal storage and reporting of P-20W data, the Common Education Data Standards (CEDS) Data Warehouse implements star schema data warehouse normalization techniques for improved query performance.

Programs for various subjects of Computer Engineering

Make sense of it all. https://totalhack.github.io/zillion/

A data warehouse and business intelligence project on Stock market dataset to answer non-trivial BI queries.

This is a flask application that converts an informational model of a decision problem to a snow-flaked star schema

Software Development Kit specifically designed for data engineering teams. It allows to build reliable data pipelines in a consistent way.

⭕️ Capstone project for Udacity's Data Engineering Nanodegree

Docker images for running Blacksmith applications.

Vagrant box for running Blacksmith applications.

Simple application showing how Blacksmith works.

This course introduces the concept of data warehousing and data integration architecture and explains the role they play in overall business intelligence and analytics strategy of an organization. The course covers predominate architecture design strategies as well as hybrid designs that combine best practices from multiple areas. A key component of instruction is an emphasis on following industry best practices such as adhering to the requirements of an integrated data platform, selecting an appropriate design strategy and the tools to support it, selecting metrics for monitoring performance and data quality, and planning for future enhancements. The course provides hands-on experience in combining structural and design elements with best practices for data governance and coding standards to build a high-level plan for implementing a data warehouse and data integration system for organizations.

Project for "Data Warehousing" at the HTWK Leipzig

University of New South Wales Data Warehousing and Data Mining Course

🌤 Create a cloud data warehouse on AWS Redshift

Business Intelligence and Data Warehousing Project

Data Warehousing project | Outsourced for Autumn Group | Retail Outlet DW | Melbourne based | Sep - Feb 2018

Mines for VTU semester results and stored in warehouse. Data later used for analysis and training models using Regression and Gradient Descent

Business Intelligence and Data warehousing system to assist Forever collectibles (sports merchandise sales company) move their business from B system (wholesale retail) to C system (wholesale and E-commerce retail).

Projects of Data Engineering Nanodegree by Udacity