Cloud-native, data onboarding architecture for Google Cloud Datasets
Data Tools Subjective List
Modern serverless lakehouse implementing HOOK methodology, Unified Star Schema (USS), and Analytical Data Storage System (ADSS) principles on Adventure Works. Features programmatic model generation, event-enhanced Puppini bridges, and temporal resolution across DAS/DAB/DAR layers.
DE or DIE meetup made by data engineers for data engineers. Currently in Russian only.
Debussy is an opinionated Data Architecture and Engineering framework, enabling data analysts and engineers to build better platforms and pipelines.
Data Engineering Digest
Codebase for CCAO data infrastructure construction and management
Master's Final Degree Project on Artificial Intelligence and Big Data
This repository contains all the assignments, workshops and mini-projects of course - DAMG7370 Designing Advanced Data Architectures for Business Intelligence
Global Cycling Company Data Warehouse! We gather data from AdventureWorks 2016, utilize tools like SSMS for efficient storage and retrieval, and employ ETL processes for seamless integration and analysis. 🚴♂️🛠️
Development of a deep learning project in the field of agriculture We will create a simple image classification model that will categorize Potato Leaf Disease using a simple convolutional neural network architecture.
Tennis price and match progress visualization
Project to evaluate the performance of databases in the Data Architecture postgraduate discipline "Relational and Non-Relational Databases"
This phase of the Salesforce Platform Governance Method tackles the data architecture and management aspects of your project’s Salesforce solution.
All data projects from Udacity Data Architect Course (nd038)
A little about me
A quick guide to several different kinds of data repositories and their use cases.
Built a Distributed Data Architecture capable of supporting several platforms and multi-organizations
A Data Engineering repository where I will focus on applying concepts such as data modeling, ETL, proper code documentations, and unit testing.
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