lucastancredi

lucastancredi's Stars

• databricks/delta-live-tables-notebooks

  Language:Python320233

• MrPowers/quinn

  pyspark methods to enhance developer productivity 📣 👯 🎉

  Language:Python60296

• MrPowers/chispa

  PySpark test helper methods with beautiful error messages

  Language:Python55163

• awslabs/python-deequ

  Python API for Deequ

  Language:Python677130

• GersonRS/hands-on-development-environment-with-kubernetes

  Hands on | Criação de um Ambiente de Desenvolvimento para Engenharia de Dados com Kubernetes

  1

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  60.9k6.3k

• rogeriomm/labtools-k8s

  Complete data engineering pipeline running on Minikube Kubernetes, Argo CD, Spark, Trino, S3, Delta lake, Postgres+ Debezium CDC, MySQL,Airflow, Kafka Strimzi, Datahub, OpenMetadata,Zeppelin, Jupyter, JFrog Container Registry

  Language:Shell243

• ifood/ifood-data-engineering-test

  186

• DataExpert-io/data-engineer-handbook

  This is a repo with links to everything you'd ever want to learn about data engineering

  9.9k1.3k

• aureliowozhiak/curso-engenharia-de-dados

  311

• git-tips/tips

  Most commonly used git tips and tricks.

  Language:JavaScript21.3k1.7k

• JohnMiner3/community-work

  Presentations given to the Data Platform community.

  Language:Jupyter Notebook3415

• adidas/lakehouse-engine

  The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.

  Language:Python20637

• lvgalvao/DataProjectStarterKit

  Estrutura completa para iniciar um projeto de dados com Python, abrangendo ambiente, git, desenvolvimento, testes e documentação.

  Language:Python6528

• TeoMeWhy/data-4u

  Language:Python13714

• google/styleguide

  Style guides for Google-originated open-source projects

  Language:HTML37k13.3k

• minrk/findspark

  Language:Python50971

• palantir/pyspark-style-guide

  This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.

  Language:Python993124

• TeoMeWhy/teomerefs

  Guia de referências técnicas para carreira em dados

  1k103

• reddelexc/hackerone-reports

  Top disclosed reports from HackerOne

  Language:Python3.4k641

• pedrogusmao/Migracao

  Migração Azure SQL via Databricks

  Language:Python1

• TeoMeWhy/introducao-programacao-python

  Curso de Introdução a Programação com Python realizado entre Instituto Aaron Swartz e Téo Me Why

  Language:Python3171

• cartershanklin/pyspark-cheatsheet

  PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster

  Language:Python382197

• razevedo1994/data_engineer_roadmap

  Personal roadmap to guide my studies.

  808

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python182k44.1k

• san089/goodreads_etl_pipeline

  An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

  Language:Python1.3k212

• alinebastos/free-courses

  Free IT courses

  816140

• TeoMeWhy/olist-ml-models

  Projeto de Machine Learning do início ao fim no contexto de um e-commerce

  Language:Python217329

• andresionek91/CorreiosPrecoPrazo

  Correios Preços e Prazos - Python Wrapper

  Language:Python31

• egonSchiele/grokking_algorithms

  Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

  Language:JavaScript11.1k3.7k