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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<strong>Big</strong> <strong>Data</strong> <strong>Analytical</strong><br />
<strong>Tools</strong> <strong>for</strong> <strong>Researchers</strong><br />
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<strong>Big</strong> data analytics is the process used <strong>for</strong> interpreting large data which<br />
includes market trends, hidden patterns, customer requirements and other<br />
details which deems useful <strong>for</strong> organizations to make clear business<br />
decisions. The term used <strong>for</strong> the collection of large data sets that are very<br />
huge and complex is called big data.<br />
This type of data is often difficult to process. The use of traditional tools or<br />
applications is not possible with big data. The size of this data exceeds in<br />
Petabytes. Since this type of data has a huge variety, it brings multiple<br />
challenges in reference to its complexity and volume that is associated with<br />
big data types. According to recent surveys, it is observed that nearly 80% of<br />
the data that is created is available in an unstructured way.
Some of the good tools <strong>for</strong> big data analytics are as follows:<br />
MongoDB<br />
One of the most popular open-source cross-plat<strong>for</strong>m sources that utilizes a documentoriented<br />
program. It makes use of JSON-documents along with schemas that make it a<br />
prominent data analytics tool<br />
Apache Hadoop<br />
It is an open-source plat<strong>for</strong>m that helps in the distribution and storage of large data. It is<br />
more based on computer clusters which are constructed on commodity hardware. Apache<br />
Hadoop is free software with framework based on Java. This tool can help store a very large<br />
amount of data in the <strong>for</strong>m of a cluster.<br />
Tableau Public<br />
This tool offers a larger insight into the hypothesis generated. The USP of this tool is one<br />
doesn’t require any programming skills and can publish the same on the web <strong>for</strong> free.<br />
Moreover, the visuals can be embedded into blogs and shared on social media.
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.
Microsoft HDInsight<br />
Microsoft HDInsight is a big data solution provided by Microsoft and powered by Apache<br />
Hadoop. This is available as a service in the cloud. The HDInsight makes use of Windows<br />
Azure Blob storage as its default file system. It helps to provide high availability at low cost.<br />
NoSQL<br />
The use of traditional SQL is traditionally opted to handle large amount of structured data.<br />
On the other hand, the NoSQL (Not Only SQL) is needed to handle unstructured data.<br />
NoSQL databases are used to store unstructured data which have no particular scheme.<br />
There are multiple open-source NoSQL DBs which are available to analyze the <strong>Big</strong> <strong>Data</strong>.<br />
Hive<br />
Hive is a distributed data management <strong>for</strong> Hadoop. This software can be basically used <strong>for</strong><br />
<strong>Data</strong> mining purpose. It runs on top of Hadoop.<br />
Sqoop<br />
Sqoop is a tool that is used to connect Hadoop with various relational databases that are<br />
used to transfer data.
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