What are the four big data analysis tools
1. rapidminer
Rapidminer is currently the leading data in the world Discover solutions. The reason why it is highly praised and recognized by everyone is related to its advanced technology. It covers a wide range of data mining, and many experts said during the interview that they always use it to simplify some design and evaluation in the data mining process.
2. Hpcc
Hpcc is a plan to speed up the information highway. It is reported that a total of US$10 billion has been invested in this plan. The purpose of initial research and development is to develop scalable software and systems. In this way, Gigabit network technology developed. Due to its strong transmission capabilities, it is used for big data analysis.
3. Hadoop
Nowadays, many novices in big data analysis like to use hadoop to directly represent big data analysis. Visibility is very important. One of the reasons why it is highly praised and recognized by the public is that it pre-sets the premise that computing elements and storage may fail, and then cuts in from multiple angles to ensure that these can be effectively controlled without occurring.
4. Pentaho bi
is very different from traditional bi products. It is a process-centered framework that radiates outward from the center and is then solution-oriented. Pentaho bi brings revolutionary changes to big data analysis. Its emergence allows independent products such as quartz and jfree to be centralized, and can also be used as a basis to provide effective solutions for complex business intelligence work.
The above four tools are essential tools for big data analysis positions and need to be used flexibly and smoothly. Even if you can understand the interfaces and operation methods of the above four tools, it is not enough. On this basis, you need to learn the entire process of big data analysis and related skills of big data analysis. The big data analyzed and summarized can be used as a basis to go through the whole process several times, so that you can truly learn the skills, apply what you have learned, and achieve a career in the big data analysis position.
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