siartemur/etl-powerbi-project

Language: Python - Size: 197 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

MarkPhamm/british_airways_transformation

Data transformation project using Snowflake, dbt, Airflow, and Astronomer. Implements Kimball's star schema methodology for dimensional modeling of British Airways review data through automated pipelines.

Language: Jupyter Notebook - Size: 4.73 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

breadboard-bi/breadboard

Language: TXL - Size: 5.04 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 8 - Forks: 2

TmohamedashrafT/Airline-DWH

The repository contains the complete schema design, queries, and documentation for the airline data warehouse, providing a detailed reference for the data warehouse structure and query optimization techniques.

Language: PLSQL - Size: 624 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

pngo1997/Sephora-Return-Policy-Evaluation-Data-Warehouse

Evaluates Sephora's return policy using data warehousing principles.

Size: 3.59 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

TmohamedashrafT/Walmart-Data-Analytics

Language: Python - Size: 23.4 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

tubegamerpro/Sephora-Return-Policy-Evaluation

Evaluates Sephora's return policy using data warehousing principles.

Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

lyteabovenyte/DATA

learning data, databases, distributed compute, orchestration and alot more Data Engineering concepts for fun.

Size: 9.27 MB - Last synced at: 26 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tanhoang1808/northwind_data_warehouse

This project perform an ELT solution to design a Data Warehouse in Snowflake

Size: 2.27 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

domenicoboris89/analytics-engineering

Use Case of a Dimensional Data Warehouse built with dbt and BigQuery.

Size: 376 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

flynn3103/data-modeling-dbt

Implementing end-to-end data warehouse following Kimball's techniques using dbt

Language: Shell - Size: 2.7 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

dennis-barrett/dimdates-dot-com

Source code for the Kimball-style date dimension generator dimdates.com.

Language: JavaScript - Size: 839 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

inf7m/Retails-DataWarehouse

Case Study - Retail Store - Kimball Data Warehouse

Language: Python - Size: 1.41 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ovokpus/analytics-engineering-prototype

Analytics Engineering with dbt on Bigquery. This project implements the use of Analytics Engineering Best practices to build a dimensional data model, using dbt (data build tool) and BigQuery.

Size: 1.22 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

randleon/Information-Architectures

assignments and projects for Yeshiva University's Katz School Information Architectures course, spring 2020

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

veenapaul/Data-Ware-House-modelling-using-ETL-Solutions

This repository contains a Data ware house solution for Property Analysis: A one-stop online platform for property investors, managers, owners, tenants and service providers.

Size: 16.8 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

mrpgmr67/Data_Warehousing

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.

Size: 6.32 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1