Stars
📙 Amazon Web Services — a practical guide
Create business apps and automate workflows in minutes. Supports PostgreSQL, MySQL, MariaDB, MSSQL, MongoDB, Rest API, Docker, K8s, and more 🚀 No code / Low code platform..
One framework to develop, deploy and operate data workflows with Python and SQL.
Tool to export Confluence spaces and pages recursively via its API
Bot to move conversations from Slack to Discourse.
tidb-tools are some useful tool collections for TiDB.
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Apache Superset is a Data Visualization and Data Exploration Platform
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes
Showcase site for hand-picked open-source projects by Spotify
🔬 Common problems to look for in a code review
Pythonic file-system interface for Google Cloud Storage
Utils for streaming large files (S3, HDFS, gzip, bz2...)
An Open Standard for lineage metadata collection
📙 Awesome Data Catalogs and Observability Platforms.
Streamlit — A faster way to build and share data apps.
A platform for community discussion. Free, open, simple.
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Code for some of my articles
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.