nayanex

great_expectations

Always know what to expect from your data.

terragrunt

Terragrunt is a flexible orchestration tool that allows Infrastructure as Code written in OpenTofu/Terraform to scale.

GitPython

GitPython is a python library used to interact with Git repositories.

lakeFS

lakeFS - Data version control for your data lake | Git for data

deequ

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

azure-pipelines-yaml

Azure Pipelines YAML examples, templates, and community interaction

drawio-libs

Libraries for draw.io

data-api-builder

Data API builder provides modern REST and GraphQL endpoints to your Azure Databases and on-prem stores.

python-certifi

(Python Distribution) A carefully curated collection of Root Certificates for validating the trustworthiness of SSL certificates while verifying the identity of TLS hosts.

python-deequ

Python API for Deequ

azure-devops-cli-extension

Azure DevOps Extension for Azure CLI

Azure-DataFactory

azure-devops-extension-sample

Sample web extension for Azure DevOps

drunken-data-quality

Spark package for checking data quality

azure.datafactory.tools

Tools for deploying Data Factory (v2) in Microsoft Azure

cloudsec-icons

A collection of cloud security icons :cloud::lock:

terraform-azure-devops-starter

A starter project for Azure DevOps Pipelines deploying resources on Terraform.

dataframe-rules-engine

Extensible Rules Engine for custom Dataframe / Dataset validation

cli

Databricks CLI

devsecops-architecture-tools

A collection of diagramming tools to help create DevOps/DevSecOps reference architectures

bundle-examples

Examples of Databricks Asset Bundles

databricks-asset-bundles-dais2023

azure-agent-self-hosted-toolkit

Toolkit to run azure agents under linux

azure-devops-extension-yeoman-generator

Generates a basic Azure DevOps extension with support for hot reload and debugging in VS Code

DataFactoryCICD

Complete Azure Data Factory CICD Process Via Azure Pipeline

data_architect

data_quality

The repo contains a few notebooks for you to get started with Databricks and Great Expectations. Have fun!

Udacity-Data-Architect

All data projects from Udacity Data Architect Course (nd038)

gq-great-expectations

Great Expectations Data Quality Checks is a specialized repository designed to harness the capabilities of the great_expectations Python library. With a focus on ensuring data quality, this project provides robust tools and methodologies to validate and check data across various sources.

databricks-sdk-py

Databricks SDK for Python (Beta)