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These Tools Are Best for Big Data Professionals


In an IT world, data is everything! However, the issue is that this data keeps growing by manifolds each day and nothing could be done to stop it from multiplying. For instance, people who once used to talk about kilobyte and megabyte are now talking about terabyte. This alone should signify how rapidly the data is growing regularly. But what good is data if it can’t be converted into meaningful information that can help the management in the decision-making process? For this purpose, there are a variety of big data tools present in the market. Such software can aid you in storing, analyzing, and reporting data. 

6 Big Data Tools for Professionals 

Talking about data, I remember how my friend made an extensive list of providers who offer TV service. In the end, it became quite difficult for him to manage the information as he was unaware of the tools that could aid him in simplifying the data. For those wondering which provider was selected, he wound up subscribing to one of the Spectrum TV packages.  Anyways, don’t be like him! Here are ten big data tools that you can consider getting. 

#1. Xplenty

It is a cloud-based solution that is used to process, integrate, and prepare data for analytics. You can rely on it to bring all of your data sources together. It will also help you create data pipelines with no code and low code capabilities. It can provide you solutions for sales, marketing, and developers. What’s more? This tool would help you with your data, saving you from investing in software or hardware. Plus, they offer customer support through chat, email, and phone. 

#2. Apache Hadoop

Apache Hadoop is a handy tool for those who want to use it for taking care of big data. It has MapReduce programming model that will help to easily process the datasets of big data. Hadoop is written in Java and is an open-source framework that can provide you cross-platform support. It is quite a popular tool that is used by many big companies such as IBM, Amazon, Facebook, Microsoft, and Intel. 

#3. Cassandra 

It is an open-source tool that is DBMS and NoSQL constructed to take care of the data that is spread across various commodity servers which deliver high availability. Plus, it is free! This tool has a feature called Cassandra Structure Language or CSL which helps users to access the database. Apache Cassandra is used by a variety of big names such as Facebook, Accenture, Honeywell, American Express, Yahoo, and General Electric. 

#4. Knime 

Knime just like Cassandra is an open-source tool that can be used for research, enterprise reporting, data analytics, integration, data mining, business intelligence, and text mining. It can run on Windows, OS X, and Linux operating systems. There are some people that consider it to be a decent alternative to SAS. Some companies which use this tool include Canadian Tire, Johnson & Johnson, and Comcast. 

#5. Datawrapper

Do you want to transform your data into embeddable, precise, and simple charts? If so then Datawrapper is your answer! It is an open-source tool for data visualization. The companies that reportedly use this tool are Bloomberg, Times, Mother Jones, Fortune, and Twitter. 

#6. MongoDB

It is a document-orientated, NoSQL database that is written in JavaScript, C++, and C. MongoDB is an open-source tool that can be used in different operating systems such as, FreeBSD, Solaris, Windows Vista, Linux, and OS X. The main features of this tool include indexing, sharding, capped collection, and schemaless. Some of the customers of this software are MetLife, eBay, Google, and Facebook among others. 

Conclusion

These are only some of the tools that can support big data operations. There are many more available in the market that can help you with your specific needs. And considering how such software provides efficient big data solutions, it won’t be a surprise if almost everyone including Spectrum cable uses one or two or a combination of these different tools to manage their data. 

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