Big Data, or the endless and infinite amount of data to analyse, process and translate, has become a fundamental discipline for today's employability.
There are all kinds of competences related to Big Data, as well as professionals specialised in each of its fields.
Thus, choosing the right tool for each aspect of Big Data is crucial. In the next post, we talk about the 7 best data analytics tools to get the most out of Big Data.
The importance of choosing a Big Data analysis tool
Are you an expert in Data Science or specialised in Data Mining? Whatever your speciality, the following list of the 7 best data analysis tools will be of great help to you. And you, Do you already use any of these Big Data tools?
1. Tableau
First of all, it is worth mentioning in this ranking of the 7 best data analysis tools to Tableau. Tableau is one of the most widely used software in Big Data.thanks to the possibility to generate databases, spreadsheets or to use its cloud services. Tableau is essential for data visualisation.
And Tableau is a key tool for administration and comprehensive data analysisIt is safe, efficient and adaptable. Moreover, it is a very intuitive programme that is widely used in statistics.
2. Integrate.io
Integrate.io is a data analysis tool designed specifically for e-commerce. It employs the scalable Xplenty system, which is key to delivering data to both SMEs and large enterprises through a cloud platform.
A fundamental tool for data integration and much in demand in marketing, sales or financeamong other sectors. In this sense, the user can also schedule jobs and check the status of each project.
3. Splunk
Splunk, on the other hand, is a platform specialising in the data collection, indexing or monitoring from servers, devices or apps, among others. A tool that analyses both structured and unstructured data in real time.
It also pays special attention to security, allowing access permissions to be generated for each user group.
4. MongoDB
To this list of the 7 best data analysis tools to get the most out of Big Data, we add the following specialised database generation software:
MongoDB is open source, scalable, flexible, easy to learn, free and usable on all major operating systems.
In short, a NoSQL database system - widely used in Big Data - that uses the programming language C++ and which deals with the storage of data in BSON structures and with a dynamic schema. This tool is also an ideal complement to JavaScript.
5. Apache SAMOA
Apache SAMOA is a data platform, which uses Machine Learning, using prediction algorithms for their treatment.
Fast, convenient, high-volume and specialised in data mining - that's Apache SAMOA.
6. RapidMiner
Another tool specialising in Data Mining or data mining is RapidMiner. This software is specialised in data analysis and allows you to generate quality analytics.
A Business Intelligence platformThe project can be applied to all kinds of fields of work: education, web development, research or business.
7. R-Programming or R-Programming Language
Finally, we would like to point out another key tool in Big Data. Although it is not a software as such, the R programming language is also essential for data analysis.
R is a programming language that is very useful in statistical research. It is able to perform numerical calculations and generate graphs, which allow for easier visualisation and manipulation of data.
This programming language is used in all types of work sectors, including the financial and economic sectors, as well as the health sector.
Therefore, it could not be missing in this top 7 of the best data analysis tools, ideal for Big Data.
And you, do you want to be a Big Data expert? Do you want to be a data analyst and data processor? At IMMUNE we have the training you were looking for. Take a look at this Executive Master in Data Science or our Master in Data Science OnlineYou will be able to take the course from the comfort of your own home.
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