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Top Data analytical Tools in Big Data Analytics
- In the field of big data analytics, plenty of tools are available
- The engineering portion of data analysis concentrates on databases, the data scientist concentrates on tools to deploy data products
- the merits of various tools with a target on statistical package that a data analyst employ is explored here
Programming Language R
- It is open source targets on statistics analysis
- It competitors are SAS, SPSS
- It acts as an interface to c, c++ and Fortron
- Supports huge collection of libraries
- It performs little slower in an intensive operations
- For the notion of data analysis, huge library support is available which aids to interact with speedy languages
Python
- It is a common purpose computer programming language
- It supports major no. of library for data analysis
- When dealing with huge datasets, go for python
- It effectively functions to clean and process data
- It offers an environment with huge algorithms to manage an average sized datasets
- It has nice cleaner and fine tuned reliable APIs
Julia
- Its a programming language like R and Python
- It is considered as high level performing dynamic language for scientific computing
- It is good for neural network prototyping algorithms
- It is friendly and sound tools for research
- Web services program will take care of applying engineering models in Julia, Python and R
SAS
- It is language for business intelligence and it is commercial one
- It allows any person to use this difficult tools as it has a little commercial products
- It supports base language
- It is not scalable to huge data sets
- It is not for advanced experts but for non expert data scientist
SPSS
- It is a statistical analysis tool from IBM
- It is highly employed for survey analysis and not for non programmable users
- It is much easy than SAS
- It is simple to deploy as it offers a SQL code
- To deal with little data and non experienced people , it is efficient
Matlab, Octave
- Matlab is employed for research , its open source edition is octave
- It offers features equalant to R and Python
- To work with this product, it requires a license
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