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This article mainly explains "what are the data analysis tools of web developers". The content of the explanation is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn what are the data analysis tools of web developers.

Tool 1: Pentaho BI

Unlike some traditional BI products, Pentaho BI is process-centric and then oriented to Solution (solutions). The main purpose of Pentaho BI is to integrate a series of API, open source software and enterprise-level BI products to facilitate the application development of business intelligence. Since the emergence of Pentaho BI, it makes Quartz, Jfree and other independent products for business intelligence effectively integrated together to form a complete and complex business intelligence solution.

Tool 2: RapidMiner

In the world, RapidMiner is a leading solution for data mining. To a large extent, RapidMiner has more advanced technology. The task of RapidMiner data mining involves a lot of areas, including some designs and evaluations that can simplify the process of data mining, as well as all kinds of data art.

Tool 3: Apache Drill

Tomer Shiran is a Hadoop manufacturer and product manager of MapR Technologies. He said that Drill is now regarded as an Apache incubator project, and its users will be software engineers around the world.

Tool 4: Storm

Storm, a real-time computer system, has the characteristics of distributed and fault-tolerant, and it is also open source software. Storm can process some very large data streams, and it can also be used in Hadoop batch data processing. Storm supports a variety of programming languages and is simple and interesting to use. Like Alibaba, Alipay, Taobao and so on are its application enterprises.

Tool 5: HPCC

A certain country has implemented a plan to implement the information superhighway, that is, HPCC. At a total cost of 10 billion US dollars, the main purpose of the project is to develop scalable computer systems and software to develop gigabit network technology and to support the transmission performance of terabit networks. and then expand the ability to research connections with educational institutions and networks.

Tool 6: Hadoop

Hadoop, a software framework, is mainly scalable, efficient and reliable for distributed processing of large amounts of data. Hadoop is quite reliable, it assumes that computational elements and storage may fail, and based on this, it maintains many copies of working data in order to ensure that nodes that process failures can be redistributed. Hadoop is scalable because it can handle PB-level data.

Tool 7: Flurry

Flurry has a unique advantage in the analysis of mobile app statistics, with annual revenue of about $100m. Flurry is quite comprehensive, and it can help developers to build mobile applications effectively. Not only that, in order to generate greater benefits, Flurry also helps developers analyze all the data.

Tool 8: OpenRefine

OpenRefine, a data analysis tool, is extremely popular and suitable for all tasks related to analysis. In other words, OpenRefine can use its clustering algorithm to group items even if it has different data names and types. As long as the clustering is completed, the analysis can be started immediately.

Tool 9: Plotly

Plotly is compatible with R, Python, MATLAB, JavaScript and other languages. It is a tool for data visualization. Even if some users do not have the coding skills and time, it can help them do so.

Tool 10: Cassandra

Apache Cassandra is a tool worthy of attention, which can manage large-scale data efficiently and effectively. Apache Cassandra is an extensible set of NoSQL databases that can monitor data in many data centers. Not only that, Cassandra is now used in many well-known enterprises.

Thank you for your reading. the above is the content of "what are the data analysis tools of web developers". After the study of this article, I believe you have a deeper understanding of what the data analysis tools of web developers have, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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