Big Data Analytical Tools for Researchers
Big data analytics is the process used for interpreting large data which includes market trends, hidden patterns, customer requirements and other details which deems useful for organizations to make clear business decisions. To Read More : https://research.phdassistance.com/engineering-and-technology/trending-algorithms-coding-recent-trends-engineering-and-technology/big-data-analytics-and-some-important-analytics-tools/
Big data analytics is the process used for interpreting large data which includes market trends, hidden patterns, customer requirements and other details which deems useful for organizations to make clear business decisions.
To Read More : https://research.phdassistance.com/engineering-and-technology/trending-algorithms-coding-recent-trends-engineering-and-technology/big-data-analytics-and-some-important-analytics-tools/
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Limitation:<br />
• Require Excel or .txt to read the document.<br />
• There is a limitation to data size.<br />
• All in<strong>for</strong>mation is public offers a little scope of privacy.<br />
KNIME<br />
These big data analytics tools help in analyzing and manipulating the in<strong>for</strong>mation through<br />
the use of visual programming. It is also used <strong>for</strong> integrating data mining and AI as it<br />
supports all types of programming language. Furthermore, one needs no write blocks or<br />
codes. You can instead drop and drag connection points in between the activities.<br />
However, this tool renders poor data visualization.<br />
NodeXL<br />
This is a free open-source network analysis and visualization software tool. It is<br />
considered the best data analytics tool that includes advanced network metrics, renders<br />
access to social media and supports automation. It’s easy to import data, analyze and<br />
visualize graph which can be integrated into Microsoft Excel 07 to 16 models.
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