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Данный репозиторий содержит различные скрипты для формирования регулярных отчетов по ключевым метрикам продукта, используя Apache Airflow и Python, с последующей отправкой в ClickHouse или Telegram
This repository contains a data architecture that is able to process the data using spark and save it the results to data lake (minio) and data warehouse (clickhouse).
This project is a robust Telegram bot built with Python's aiogram library. It features middleware for authentication, throttling, and logging to ClickHouse. The bot carefully manages user interactions using a whitelist mechanism and logs all actions for auditing purposes.
This demo solution uses Kafka, Clickhouse and presents two services written on Python3: price-generator and price-monitor. The first one generates an array of 52 items of random trade data every millisecond and writes it to Kafka. The second consumes hot data from Kafka and with minimal latency sends a notification when a trade condition occurs.