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advanced-data-engineering-with-databricks

bricklayer

common libs for commonly used python modules in Databricks

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

dotfiles

workstation config

git-remote-s3

Push and pull git repos to/from an s3 bucket, encrypted using gpg.

github-util

Utility for github

golearn

great_expectations

Always know what to expect from your data.

loganwang007

mlbootcamp

moto

A library that allows you to easily mock out tests based on AWS infrastructure.

pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

rebound

Command-line tool that instantly fetches Stack Overflow results when an exception is thrown

sparkaid

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tech-talks

This repository contains the notebooks and presentations we use for our Databricks Tech Talks

thirdeye

ThirdEye is an integrated tool for realtime monitoring of time series and interactive root-cause analysis. It enables anyone inside an organization to collaborate on effective identification and analysis of deviations in business and system metrics. ThirdEye supports the entire workflow from anomaly detection, over root-cause analysis, to issue res