A terraform provider for Apache Pinot

In this full-day training, we will explore the architectures of Apache Kafka, Apache Flink, and Apache Pinot. We will run local clusters of each system, studying the role each plays in a real-time analytics pipeline.

Node.js client library for Apache Pinot 🍷, a realtime distributed OLAP datastore

WIP demos and code examples for how to query a stream talk

Repository for Apache Pinot Quickstart

Install, scale and reset Pinot cluster with monitoring servers using Ansible

FinOps dashboards using Apache Superset and Apache Pinot with FOCUS datasets

A statically typed and fast DB-API 2.0 implementation for Apache Pinot

Apache Pinot node.js client library

A Go Library for interacting with the Apache Pinot Controller

A simple Realtime Order Service Analytics using Python, Kafka and Apache Pinot.

Software system for assessing the impact of news on stock prices

A DB-API to interact with Apache Pinot

A realtime ingestion and profiling engine for fast data.

🌟 Apache Pinot - A realtime distributed OLAP datastore

The Pinot Data Source Plugin for Grafana enables you to visualize and query data from your Apache Pinot cluster directly within Grafana

Apache Pinot cluster using Docker

Self-contained demo using Flink SQL and Apache Pinot to analyze Twitch streams in near-real time. All you need is Docker! 🐳

This project implements a real-time data pipeline for EURO 2024 football data, utilizing Apache Kafka for streaming, Apache Pinot for fast querying, and Apache Superset for data visualization. The pipeline extracts data from a JSON-based API and orchestrates the workflow using Apache Airflow.