syedhassaanahmed/azure-kafka-spark-adls

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Created about 7 years ago
Updated over 6 years ago

syedhassaanahmed/azure-kafka-spark-adls

syedhassaanahmed

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Azure ARM template to deploy Kafka and Spark clusters in same VNet with ADLS

kiosk-demo-electron

Package and distribute Electron Apps and run them in Kiosk mode on Windows 10

databricks-notebooks

Collection of Databricks and Jupyter Notebooks

Jupyter Notebook

azure-event-driven-data-pipeline

Building event-driven data ingestion pipelines in Azure

neo-to-cosmos

Copy Neo4j data to Azure Cosmos DB

neo4j-datasets

Deploy publicly available Neo4j datasets on Azure Container Instances and optionally migrate them to Azure Cosmos DB

tf-aks-kv

This Terraform template provisions an AKS Cluster with Key Vault integration using CSI secrets store driver

hello-kafka-on-eventhubs-cs

Connecting to a Kafka-enabled Azure Event Hubs using Confluent's .NET Client

azure-kusto-load-test

Containerized tool for load testing Azure Data Explorer (ADX)

azure-iot-edge-redis-timeseries

This sample Azure IoT Edge module demonstrates how to store sensor data in RedisTimeSeries and visualize it in Grafana.

aspnet-crud-demo

This ASP.NET 6.0 App demonstrates simple CRUD operations on Cosmos DB Core API using Entity Framework Core

tf-aks-sql-aad

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cosmos_doc_manager

MongoDB Doc Manager for Azure Cosmos DB

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Docker image containing wrk2 with support for online Lua scripts

northwind-sql-db-container

Docker container which initializes SQL Server with the Northwind database

tf-aks-ingress-tls

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HttpScraper

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Terraform template which shows how to connect E2E from Azure Databricks to an HDInsight HBase cluster

azure-data-manager

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Twitzer

Twitter-like client for W10 built in UWP

azure-sql-load-test

Containerized tool for load testing Azure SQL Database and Azure Synapse Analytics SQL pool

app-insights-event-action

A rudimentary GitHub Action that allows you to send events to Azure Application Insights

node-wine

This docker image contains Node.js, Wine and .NET 4.5

portable-etl

E2E data pipeline showcasing Spark's capabilities on Cloud and Edge