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Considering the complexity and diversity of existing technology solutions, it is often difficult for enterprises to find suitable collection and analysis tools. However, under the chaotic situation, a number of schemes have come to the fore, proving that they can help everyone to actually complete big data's analytical work. Below we will compile a list of ten tools to effectively compress the selection.

Data has become the most important and valuable resource in modern enterprises. All decisions, strategies or methods can only be realized based on the analysis of the data. With the gradual replacement of its previous version, namely "business intelligence", enterprises are facing a new era of more complex and larger scale of business intelligence.

Considering the complexity and diversity of existing technical solutions, it is often difficult for enterprises to find suitable big data collection and analysis tools. However, under the chaotic situation, a number of schemes have come to the fore, proving that they can help people actually complete the kind of work. Below we will compile a list of ten tools to effectively compress the selection. download

1. OpenRefine

This is a popular tool for all kinds of tasks related to analysis. This means that even if you have different data types and names, this tool can use its powerful clustering algorithm to complete item grouping. After the clustering is completed, the analysis can begin.

2. Hadoop

Big data and Hadoop are inseparable. This software library and framework can use a simple programming model to distribute large-scale data sets to computer clusters. It is particularly good at processing large-scale data and making it available to local devices. As the developer of Hadoop, Apache is also constantly strengthening the tool to improve its effectiveness.

3. Download Storm

Storm, also from Apache, is another great real-time computing system that can greatly enhance the processing of infinite data streams. It can also be used to perform a variety of other tasks related to big data, including distributed RPC, continuous processing, online machine learning and real-time analysis. Another advantage of using Storm is that it integrates a large number of other technologies, further reducing the complexity of big data's processing.

4. Plotly

This is a data visualization tool that is compatible with JavaScript, MATLAB, Python and R languages. Plotly can even help users who do not have coding skills or time to complete dynamic visualization. This tool is often used by a new generation of data scientists because it belongs to a business development platform and can quickly complete the understanding and analysis of large-scale data.

5. Download Rapidminer

As another essential tool for big data processing, Rapidminer belongs to an open source data science platform and works through visual programming mechanisms. Its functions include modifying, analyzing and creating the model, and can quickly integrate the results into the business process. Rapidminer has attracted a lot of attention and has become a reliable tool in the minds of many well-known data scientists.

6. Cassandra

Apache Cassandra is another tool of concern because of its ability to manage large-scale data effectively and efficiently. It belongs to a set of scalable NoSQL database, which can monitor data in multiple data centers and has worked in well-known enterprises such as Netflix and eBay.

7. Download Hadoop MapReduce

This is a software framework that allows users to write applications that process large-scale data concurrently in a reliable manner. MapReduce applications are mainly responsible for completing two tasks, namely, mapping and specification, and provide a variety of data processing results. The tool was originally developed by Google.

8. Download Bokeh

The main goal of this visualization framework is to provide exquisite and concise graphics processing results to enhance the interactive ability of large-scale data streams. It is dedicated to the Python language.

9. Wolfram Alpha

This is a search engine designed to help users search for the computing material or other content they need. For example, if you type "Facebook", you can get a lot of Facebook-related HTML element structure, input interpretation, Web hosting information, network statistics, subdomains, Alexa estimates, web page information, and so on.

10. Neo4j

Its official website calls the tool the next revolution in graphical database technology. This is not an exaggeration to some extent, because this set of databases uses relationships between data to manipulate and enhance performance. At present, Neo4j has been used by many enterprises to realize intelligent applications by using data relations, so as to help them maintain their competitive advantage in the market.

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