written 2.4 years ago by | • modified 2.4 years ago |
Explain modern data analytic tools.
written 2.4 years ago by | • modified 2.4 years ago |
Explain modern data analytic tools.
written 2.4 years ago by |
Modern data analytic tools :-
Apache Hadoop :-
Apache Hadoop, a big data analytics tool which is a Java based free software framework.
It helps in effective storage of huge amount of data in a storage place known as a cluster.
It runs in parallel on a cluster and also has ability to process huge data across all nodes in it.
There is a storage system in Hadoop popularly known as the Hadoop Distributed File System (HDFS), which helps to splits the large volume of data and distribute across many nodes present in a cluster.
KNIME :-
KNIME analytics platform is one of the leading open solutions for data-driven innovation.
This tool helps in discovering the potential and hidden in a huge volume of data, it also performs mine for fresh insights, or predicts the new futures.
OpenRefine :-
OneRefine tool is one of the efficient tools to work on the messy and large volume of data.
It includes cleansing data, transforming that data from one format another.
It helps to explore large data sets easily.
Orange :-
Orange is famous open-source data visualization and helps in data analysis for beginner and as well to the expert.
This tool provides interactive workflows with a large toolbox option to create the same which helps in analysis and visualizing of data.
RapidMiner :-
RapidMiner tool operates using visual programming and also it is much capable of manipulating, analyzing and modeling the data.
R-programming :-
R is a free open source software programming language and a software environment for statistical computing and graphics.
It is used by data miners for developing statistical software and data analysis.
It has become a highly popular tool for big data in recent years.
Datawrapper :-
It is an online data visualization tool for making interactive charts.
It uses data file in a csv, pdf or excel format.
Datawrapper generate visualization in the form of bar, line, map etc. It can be embedded into any other website as well.
Tableau :-
Tableau is another popular big data tool. It is simple and very intuitive to use.
It communicates the insights of the data through data visualization.
Through Tableau, an analyst can check a hypothesis and explore the data before starting to work on it extensively.