Big Data

In the IT world, Big 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 kilobytes and megabytes are now talking about terabytes. 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.  Anyway, don’t be like him! Here are ten big data tools that you can consider getting.


It is a cloud-based solution 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 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.

Apache Hadoop

Apache Hadoop is a handy tool for handling big data. Its MapReduce programming model makes it easy to process big data datasets. Hadoop is written in Java and is an open-source framework that provides cross-platform support. It is quite a popular tool used by many big companies, such as IBM, Amazon, Facebook, Microsoft, and Intel.


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


Knime, like Cassandra, is an open-source tool 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. Some people consider it a decent alternative to SAS. Some companies that use this tool include Canadian Tire, Johnson & Johnson, and Comcast.


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


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.


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.

Leave a Reply

Your email address will not be published. Required fields are marked *