sathya-reddy-m's repositories
actionlint
:octocat: Static checker for GitHub Actions workflow files
architecture-center
Open Source documentation for the Azure Architecture Center on Microsoft Docs
awesome-azure-architecture
AWESOME-Azure-Architecture - https://aka.ms/AwesomeAzureArchitecture
awesome-database-design
:zap: A collection of resources and tutorials to design a better database schema.
aws-saas-factory-eks-reference-architecture
This repository provides a reference architecture for building an end to end SaaS solution using Amazon Elastic Kubernetes Service (EKS)
AzureTRE
An accelerator to help organizations build Trusted Research Environments on Azure.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
brickflow
Pythonic Programming Framework to orchestrate jobs in Databricks Workflow
ctakes
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
data-diff
Compare tables within or across databases
data-engineering-wiki
The best place to learn data engineering. Built and maintained by the data engineering community.
DataAISummit2024
This repository contains code of Brickflow and SparkExpectations for DataAISummit2024
datacompy
Pandas and Spark DataFrame comparison for humans and more!
ddedocs
Data Developer & Engineer Documents and Hands-On
delta-examples
Delta Lake examples
inlong
Apache InLong - a one-stop, full-scenario integration framework for massive data
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.
learn-databricks
Notebooks to learn Databricks Lakehouse Platform
metricflow
MetricFlow allows you to define, build, and maintain metrics in code.
openhouse
Open Control Plane for Tables in Data Lakehouse
OpenLineage
An Open Standard for lineage metadata collection
OpenMetadata
Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
quinn
pyspark methods to enhance developer productivity 📣 👯 🎉
seatunnel
SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
spark
Apache Spark - A unified analytics engine for large-scale data processing
system-design-101
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
terraform-databricks-lakehouse-blueprints
Set of Terraform automation templates and quickstart demos to jumpstart the design of a Lakehouse on Databricks. This project has incorporated best practices across the industries we work with to deliver composable modules to build a workspace to comply with the highest platform security and governance standards.
terraform-databricks-sra
The Security Reference Architecture (SRA) implements typical security features as Terraform Templates that are deployed by most high-security organizations, and enforces controls for the largest risks that customers ask about most often.