What are the big data analysis tools?

Introduction to big data analysis tools

1.hadoop

As the main tool in big data, this tool can Large amounts of data are processed in a distributed manner, and the tool has three main features.

This tool is efficient and reliable, and can be processed in a scalable manner. The reason why this tool is reliable is that when used, the tool can maintain multiple data copies at the same time, and can ensure targeted completion of processing in the face of failed nodes.

The reason why this tool is funny is that when used, the processing method is parallel. Through parallel processing, the processing speed is accelerated. When using this tool, it relies on community servers, so the cost of use is not very high and almost everyone can use it.

2. hpcc

As a high-performance computing and communication tool, this tool was proposed by the United States in 1993. Its main purpose is to solve important scientific and technological problems. Strengthen research on important issues and develop and solve them.

The United States wants to apply this tool to the information highway. The main purpose is to be able to publish scalable computing systems and develop scalable related software. At the same time, we develop gigabit network technology, network connectivity capabilities, and more.

3. Storm

This tool has many application fields, including non-stop calculation, online learning, real-time analysis, etc. Not only is this tool fun to use, but it's also incredibly fast.

After testing, using this tool can process 1 million data tuples in one second. All in all, this tool is scalable and fault-tolerant, and is relatively simple to set up and operate.

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