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5 Tools Everyone in the Big Data Analytics Industry Should Be Using

With the advent of technology, data is being generated at a fast pace. In order to handle this humongous quantity of data, one needs technologically improved tools which can help to analyze this huge amount of data. These tools help in giving meaning to the information which can be used to strategize organizations future steps. It helps to understand the hidden patterns and various unknown correlation which needs deep digging of insights.

There are various tools in the market each providing unique features and functionalities and catering to different usages. Some of them are even industry specific. So, let us take a look at various data analytics tools which are technologically advanced and used by top organizations in their process.

  • Tableau Desktop and Serve:

This is a data visualization tool which helps to represent the data in a different way.The tool helps you to optimize the data and add columns for further analysis. It embeds these changes in the final output automatically and one need not start from scratch in case of any modifications.

  •  Splunk:

Splunk is a reporting cum data organization tool. It not only helps you to store data but also indexes it. This indexing is flexible in nature and hence helps the user to make necessary changes once the data is done.

  • Pentaho BA:

This is another report generating engine. This tool comes with simplicity. Simple drag drop operation enhances user interaction. The sorting and sifting mechanism is very simple. It also has a graphical support wherein the user can use images and connects them to the analysis process.

  •    Karmasphere:

It is a specialized IDE that makes it easy to create and run various analytics jobs. This tool helps you to set up your jobs and provides the status at every stage of the process. The tool displays the test data at each and every stage.

  • Skytree:

It has various sophisticated machine learning algorithms. Even though it doesn’t have a flashy GUI but the working mechanism is up to the mark. It searches through the data, looking out for similar terms. This helps to understand the outliers which could be termed as problems or opportunities for the particular organization.

Organizations have realised the importance of big data analytics as it provides very useful insights which were not visible earlier thus helping the organizations with minute details and better understanding of the customer base.

 

There are various tools in the market each providing unique features and functionalities and catering to different usages. Some of them are even industry specific. So, let us take a look at various data analytics tools which are technologically advanced and used by top organizations in their process.are various tools in the market each providing unique features and functionalities and catering to different usages. Some of them are even industry specific. So, let us take a look at various data analytics tools which are technologically advanced and used by top organizations in their process.With the advent of technology, data is being generated at a fast pace. In order to handle this humongous quantity of data, one needs technologically improved tools which can help to analyze this huge amount of data. These tools help in giving meaning to the information which can be used to strategize organizations future steps. It helps to understand the hidden patterns and various unknown correlation which needs deep digging of insights.With the advent of technology, data is being generated at a fast pace. In order to handle this humongous quantity of data, one needs technologically improved tools which can help to analyze this huge amount of data. These tools help in giving meaning to the information which can be used to strategize organizations future steps. It helps to understand the hidden patterns and various unknown correlation which needs deep digging of insights.With the advent of technology, data is being generated at a fast pace. In order to handle this humongous quantity of data, one needs technologically improved tools which can help to analyze this huge amount of data. These tools help in giving meaning to the information which can be used to strategize organizations future steps. It helps to understand the hidden patterns and various unknown correlation which needs deep digging of insights.With the advent of technology, data is being generated at a fast pace. In order to handle this humongous quantity of data, one needs technologically improved tools which can help to analyze this huge amount of data. These tools help in giving meaning to the information which can be used to strategize organizations future steps. It helps to understand the hidden patterns and various unknown correlation which needs deep digging of insights.

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Comment by John Miraglia on October 9, 2015 at 3:47am

Pleas edit before publishing

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