Postgres read replica optimized for analytics

Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!

A curated list of open source tools used in analytics platforms and data engineering ecosystem

Sample Data Lakehouse deployed in Docker containers using Apache Iceberg, Minio, Trino and a Hive Metastore. Can be used for local testing.

DatAasee - A Metadata-Lake for Libraries

A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.

My M.Sc. dissertation: Modern Data Platform using DataOps, Kubernetes, and Cloud-Native ecosystem to build a resilient Big Data platform based on Data Lakehouse architecture which is the base for Machine Learning (MLOps) and Artificial Intelligence (AIOps).

The project aims to process Formula 1 racing data, create an automated data pipeline, and make the data available for presentation and analysis purposes.

This repository is a place for the Data Warehousing course at the Information Systems & Analytics department, Santa Clara University.

Data lakehouse at home with docker compose

This project implements an end-to-end techstack for a data platform, for local development.

🌊 Git-like Version Control for Data with Nessie, Iceberg, and Spark

Инфраструктура для data engineer S3

STEDI project

Всё что нужно знать про DuckDB

This is an example project how to build a serverless data lakehouse on AWS using Terraform, Apache Iceberg and Spark.

This project is aimed at overhauling a university's data infrastructure to improve efficiency, security, and scalability, resulting in the successful creation of a unified data management solution.

#Test - Create a Data Lakehouse in Kubernetes