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Free, simple, and intuitive online database design tool and SQL generator.
Code for "Efficient Data Processing in Spark" Course
A tool for exploring each layer in a docker image
A curated list of awesome blogs, videos, tools and resources about Data Contracts
Open, Multi-modal Catalog for Data & AI
Understanding Deep Learning - Simon J.D. Prince
Shows how the CFT modules can be composed to build a secure cloud foundation
Deploys a secured BigQuery data warehouse
A collection of learning resources for curious software engineers
1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
Dataform is a framework for managing SQL based data operations in BigQuery
This Dataform project processes various marketing data sources and creates a Marketing Data Store (MDS) to be used in several use cases: a)retain historical marketing data; b)create high performanc…
📚 Tech blogs & talks by companies that run Apache Flink in production
A comprehensive list of books on Software Architecture.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Free Data Engineering course!
A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Code snippets from the Streaming Systems book (streamingbook.net).
A cheap, serverless version of Snowplow deployed with Terraform that runs on dumky.net
Template for a data contract used in a data mesh.
Data Engineering Practice Problems
A framework for managing and maintaining multi-language pre-commit hooks.
DuckDB is an analytical in-process SQL database management system
Python composable command line interface toolkit
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
Schema modelling framework for decentralised domain-driven ownership of data.
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.