Apache Storm
Imagine you have a big box of legos that you need to put together. You could do it by yourself, but it would take a lot of time and effort. Instead, you could get a few friends to help you out and build the lego model together. This is where Apache Storm comes in.
Apache Storm is like a group of your friends that help you put together the lego model faster and more efficiently. But instead of legos, it helps you process and analyze large amounts of data.
Storm is a framework that runs on a cluster of computers, called a "Storm cluster", which work together to process data in real-time. Each computer in the cluster is called a "node" and they talk to each other to complete a task.
For example, imagine you have a stream of tweets coming in that you want to analyze. Storm would be able to take those tweets, break them up into smaller pieces, and then distribute those pieces across the nodes in the cluster. Each node would then work on its assigned piece and then send the results back to the main Storm cluster.
Once all the nodes finish their assigned tasks and send their results back to the main cluster, Storm can combine and analyze the data to give you insights and information about what you wanted to learn from the tweets.
So, to sum it all up: Apache Storm is like having a bunch of friends helping you process a large amount of data within real-time. The framework runs on a cluster of computers, where each computer can work together to complete a task, and then the results are combined to give you the answers you need.
Apache Storm is like a group of your friends that help you put together the lego model faster and more efficiently. But instead of legos, it helps you process and analyze large amounts of data.
Storm is a framework that runs on a cluster of computers, called a "Storm cluster", which work together to process data in real-time. Each computer in the cluster is called a "node" and they talk to each other to complete a task.
For example, imagine you have a stream of tweets coming in that you want to analyze. Storm would be able to take those tweets, break them up into smaller pieces, and then distribute those pieces across the nodes in the cluster. Each node would then work on its assigned piece and then send the results back to the main Storm cluster.
Once all the nodes finish their assigned tasks and send their results back to the main cluster, Storm can combine and analyze the data to give you insights and information about what you wanted to learn from the tweets.
So, to sum it all up: Apache Storm is like having a bunch of friends helping you process a large amount of data within real-time. The framework runs on a cluster of computers, where each computer can work together to complete a task, and then the results are combined to give you the answers you need.