The growing demand and importance of data analytics in the market have generated many openings in the competitive job market. Nowadays, every organization needs an output measurement of a work done by the employees. And for this, an organization relies on data analyst people. They handle the whole data of the company and analyze to produce a better outcome. For making their work easy, there are so many tools which one can use to counter all those hurdles which are undertaken by the companies and provide a best possible solution.

Each sector is now adopting these tools and they need professionals who have a good understanding of data analysis tools. This requirement of the organizations increases the data analyst job vacancies for many young fresher candidates. Seekers can make a great deal by grabbing those opportunities.

Depending on your needs, here are the top 5 data analytics tools in big data:

#Tableau Public:

This tool helps in data visualization to the web. It is free open source software that allows you to connect to a spreadsheet, or file and create data visualization for the web. Tableau is also updated with mapping functionality in which it helps in plotting latitude and longitude coordinates. A user can easily explore with the app and can create a stunning visualization. As of now tableau public and google sheets are linked with each other, this will enable to access data wherever it is stored.

#RapidMiner:

It is another very popular software platform for data science teams that unites the data. It gives an integrated environment for business analytics, data mining along with commercial and business application. It also gives an opportunity to data science teams to explore the digital world through source platform for data preparation, machine learning and, model deployment. It is basically used as client/server model offered as either on-premise or on public/private cloud infrastructure.

#NodeXL:

It is one of those best tools which give statistical data analysis of social media network data importers, advanced network metrics, and automation. It is mainly used for the users who have little knowledge of programming that allows them to collect, visualize and analyze a variety of networks. It can help with importing social media data from e-mail, Twitter, YouTube and other social networking sites. Including features like Data import, Data Representation, Graph Analysis, Graph visualization makes it the best tools to empower the growth in any work performances.

#OpenRefine:

This is a data cleaning software engaged for everything ready for analysis. It can transform data from values to other formats whether normalizing or de-normalizing. It enables parsing of data from websites as it has a URL fetching feature of DOM Engine and HTML Parser. OpenRefine helps in cleaning messy data that can be edited to generate the clean data structure. It is similar to that of spreadsheet application where it can work; however, it is more inclined towards database.

#Google Operators:

It is an undeniable powerful tool that instantly filters Google result and provides unique, genuine and relevant information. Google operator not only indexes and caches web pages but also provide snapshots in form of PDF, Word Documents spreadsheets and so on so forth. The very main purpose of google operator is to provide text in openly accessible documents as offered by web servers such as images or data contained in the database.

Exploring with these tools will allow the analysts to keep an eagle’s eye on the performance of the employee and will provide a major feedback from the client’s point of view to tackle the hurdles. Technology is now providing various means to get the work done in a simple and most progressive way. Each segment is clearly defined and is now working at the same pace to counter those. As this is the high-end tactics used to calculate measure and refine the results, this acquires large employment in this field.