Tweet-Analysis-With-Kafka-and-Spark
A real time analytics dashboard to analyze the trending hashtags and @ mentions at any location using kafka and spark streaming.
How to download and setup Tweet-Analysis-With-Kafka-and-Spark
Open terminal and run command
git clone https://github.com/harshkavdikar1/Tweet-Analysis-With-Kafka-and-Spark.git
git clone is used to create a copy or clone of Tweet-Analysis-With-Kafka-and-Spark repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with Tweet-Analysis-With-Kafka-and-Spark https://github.com/harshkavdikar1/Tweet-Analysis-With-Kafka-and-Spark/archive/master.zip
Or simply clone Tweet-Analysis-With-Kafka-and-Spark with SSH
[email protected]:harshkavdikar1/Tweet-Analysis-With-Kafka-and-Spark.git
If you have some problems with Tweet-Analysis-With-Kafka-and-Spark
You may open issue on Tweet-Analysis-With-Kafka-and-Spark support forum (system) here: https://github.com/harshkavdikar1/Tweet-Analysis-With-Kafka-and-Spark/issuesSimilar to Tweet-Analysis-With-Kafka-and-Spark repositories
Here you may see Tweet-Analysis-With-Kafka-and-Spark alternatives and analogs
technology-talk scrapy-cluster alpakka-kafka kmq gosiris kafka-health-check pipeline graylog2-server kq jocko thingsboard cilium dnc atmosphere gizmo librdkafka ksql CAP oryx seldon-server secor surging enqueue-dev kafka-rest myth goka syslog-ng kafka-php rsyslog pykafka