RWaltersMA/movingaverage

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Rank 2,282,444 (Top 46 %)
Language
Python
Created over 4 years ago
Updated over 4 years ago

RWaltersMA/movingaverage

RWaltersMA

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Finding the moving average from heterogeneous data sources (MySQL, MongoDB) using Apache Kafka, Kafka Connect, and R language

mongo-spark-jupyter

Docker environment that spins up MongoDB replica set, Spark, and Jupyter Lab. Example code uses PySpark and the MongoDB Spark Connector.

StockPriceGenerator

Python application to write stock security data to a MongoDB Cluster. Supports a variable amount of stocks, variable amount of time and can write to a MongoDB time-series collection

mongo-source-sink

This is an example of using MongoDB as both a source and sink.

kafka1.3

The Financial Securities demo shows data flowing from MySQL, MongoDB via Kafka Connect into Kafka Topics. Showcases various improvements in MongoDB Connector for Apache Kafka V1.3

azure-event-hubs-mongo

Sample code to showcase using the MongoDB Connector for Apache Kafka with Azure Event Hubs

OracleCDC2Mongo

CosmosDB2MongoDB

Migrate Azure CosmosDB to MongoDB Atlas via Apache Kafka

mongodb-redpanda

Example of using MongoDB Connector for Apache Kafka with RedPanda

KafkaMongoDBMySQLStock

repository for Confluent Data in Motion event Fall 2021

MongoDB_AGeneralPurposeDB

A website that demonstrates that MongoDB is a general purpose database

mongokafkatutorial

Docker script that builds an Ubuntu container with the tools and tutorial files needed to support the MongoDB Connector for Apache Kafka documentation tutorials

bankofmongo

doc-gen

Creates sample JSON documents