Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A set of Workflows designed for CI/CD

Helm Chart & Documentation for deploying JupyterHub on Kubernetes

Ready-to-run Docker images containing Jupyter applications

This repo stores configurations to install ArgoCD and Applications

LLM vulnerability scanner

GenAIOps on Kubernetes: A collection of reference architectures for running GenAI at scale on Kubernetes using OSS tooling

Sends CTAS statements and others to simulate load on Trino

An efficient and elegant inotify (Linux filesystem activity monitor) library for Python. Python 2 and 3 compatible.

A toolbox to benchmark TPC workloads in Go

A component manager for TiDB

A Chaos Engineering Platform for Kubernetes.

Certified Kubernetes Administrator - CKA Course

Join the GitHub Graduation Yearbook and "walk the stage" on June 11.

SWE5003 - Achitecting Real Time Systems for Data Processing - Code Base

A Python Object-Document-Mapper for working with MongoDB

A sample e-commerce learning app

An introduction of data formats used in Spark and how to read from and write to them.

A demonstration of the Spark Machine Learning Library (MLlib) on popular datasets

An overview of commonly used Dataframe functions in Spark SQL and ETL

Python client for Trino

An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR

Repository for Spark using Python material. It is popularly known as PySpark.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

This is the repository for itversity CCA 175 material with YouTube videos.

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)