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Most Important Big Data Analytical Tools for Researchers

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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. – PowerPoint PPT presentation

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Title: Most Important Big Data Analytical Tools for Researchers


1
Big Data Analytical Tools for Researchers
Latest Research Topics Dissertation Writing
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2
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.
The term used for the collection of large data
sets that are very huge and complex is called big
data. This type of data is often difficult to
process. The use of traditional tools or
applications is not possible with big data. The
size of this data exceeds in Petabytes. Since
this type of data has a huge variety, it brings
multiple challenges in reference to its
complexity and volume that is associated with big
data types. According to recent surveys, it is
observed that nearly 80 of the data that is
created is available in an unstructured way.
3
Some of the good tools for big data analytics are
as follows MongoDB One of the most popular
open-source cross-platform sources that utilizes
a document-oriented program. It makes use of
JSON-documents along with schemas that make it a
prominent data analytics tool Apache Hadoop It
is an open-source platform that helps in the
distribution and storage of large data. It is
more based on computer clusters which are
constructed on commodity hardware. Apache Hadoop
is free software with framework based on Java.
This tool can help store a very large amount of
data in the form of a cluster. Tableau
Public This tool offers a larger insight into the
hypothesis generated. The USP of this tool is one
doesnt require any programming skills and can
publish the same on the web for free. Moreover,
the visuals can be embedded into blogs and shared
on social media.
4
Limitation Require Excel or .txt to read the
document. There is a limitation to data size.
All information is public offers a little scope
of privacy. KNIME These big data analytics tools
help in analyzing and manipulating the
information through the use of visual
programming. It is also used for integrating data
mining and AI as it supports all types of
programming language. Furthermore, one needs no
write blocks or codes. You can instead drop and
drag connection points in between the activities.
However, this tool renders poor data
visualization. NodeXL This is a free open-source
network analysis and visualization software tool.
It is considered the best data analytics tool
that includes advanced network metrics, renders
access to social media and supports automation.
Its easy to import data, analyze and visualize
graph which can be integrated into Microsoft
Excel 07 to 16 models.
5
Microsoft HDInsight Microsoft HDInsight is a big
data solution provided by Microsoft and powered
by Apache Hadoop. This is available as a service
in the cloud. The HDInsight makes use of Windows
Azure Blob storage as its default file system. It
helps to provide high availability at low
cost. NoSQL The use of traditional SQL is
traditionally opted to handle large amount of
structured data. On the other hand, the NoSQL
(Not Only SQL) is needed to handle unstructured
data. NoSQL databases are used to store
unstructured data which have no particular
scheme. There are multiple open-source NoSQL DBs
which are available to analyze the Big
Data. Hive Hive is a distributed data management
for Hadoop. This software can be basically used
for Data mining purpose. It runs on top of
Hadoop. Sqoop Sqoop is a tool that is used to
connect Hadoop with various relational databases
that are used to transfer data.
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Related Topics Latest Research TopicsBig Data
AnalyticsData Analytics ConsultantStatistical
Data AnalysisData Analytics SolutionsResearch
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