Article

Nirmal Patel
Nirmal Patel 6 September 2018
Categories Data & Analytics

What Are The Top 30 Big Data Tools For Data Analysis?

Data analysis is a critical aspect of using data tools in companies. When you analyze the demographics and the numerical data to extract the essential information, you can use the same to help you gain in business prospects.

Data analysis is a critical aspect of using data tools in companies. When you analyze the demographics and the numerical data to extract the essential information, you can use the same to help you gain in business prospects. For example, without analyzing the past profits of your company, it will be impossible to understand what to do in the future to double the benefits.

Some of the best-known data analytics have been mentioned underneath along with their distinguishing features:

  1. R Programming: It is one of the widely used software programs that run on various systems like viz -UNIX, Windows and Mac OS
     
  2. Tableau public: If you are looking forward to freeing software that can help you incorporate data from various platforms like Microsoft, data warehouse or manually fed in data from the internet then the tableau data is your best bet.
     
  3. Apache Hadoop: Another popular framework with built-in data analytics, the Apache Hadoop lets you make a consolidated report by connecting the data from various computers if they are connected on a single server.
     
  4. HPCC: LexisNexis Risk Solution developed a software name HPCC that has a single network for data processing and only one language that it operates on when compiling the reports. With the least amount of codes, it is capable of delivering high data analytics.
     
  5. Knime: The system used to build Knime is such that it can mine the given data to come up with logical new steps that can help you derive better profits from the given data and it can also assist in depicting the new future for the company.
     
  6. Open refine: formally known as Google purify, this data software should be used if you have complicated numbers or data and need a feasible solution at a lightning fast speed. 
     
  7. Orange: If you are a beginner in the industry you should place your bests on this software.
     
  8. Storm: It is an open source big data computation system that can be acquired free of cost.
     
  9. Qubole: This system has a self-optimizing mode that lets you pick up the user data and delete the one that is not required at the moment. 
     
  10. Cassandra: if you face the constant issue of server being down from time to time then you must go for this data analytics tool.
     
  11. Pentaho: any barriers that you might be facing in blending in data from various sources can be addressed with the help of this software.
     
  12. Weka: it is a complex mix of machine learning programs blended well with the data mining tasks.
     
  13. Node Xl: if you want to use the simpler version of data tool to understand the basics before investing then Node XL is your best bet.
     
  14. Statewing: you can clean big data with the help of this software and derive the required statements in a jiffy.
     
  15. Couch DB: it is a single node database that can work well on almost any number of computers connected in the server.
     
  16. Gephi: the system uses Java and Net Beams platform to mine the data at hand and deliver the result within a very short span of time.
     
  17. Data wrapper: it is an online tool that can take up data from CSV, excel sheets and PDF as well.
     
  18. Flink: the data tool is built in a manner that it can use the late-arriving data and give results without faltering it in any way. 
     
  19. Couldera: if you are worried about clusters in your data then you can turn to this software without getting disappointed.
     
  20. Data cleaner: it can do interactive data profiling and use the one required for the immediate result post.

Other software includes kaggle, hive, qlik, solver, Google fusion tables, Inforgram, opentext, semantria, trackur and opinion crawl.

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