Big data as a concept may not be something new, but in the past few years, it has gained a huge amount of interest and media attention. It’s the volume of a dataset that primarily defines big data. In general, big datasets are huge, crossing the threshold of petabytes sometimes. Traditional data analysis methods fail to deal with this amount of data.
By now, it has been fully established that big data is much more than just a buzzword, which was thought once by a lot of people. Instead, it’s probably the biggest asset that businesses may ever have. In order to leverage big data, businesses need to have robust strategies in place for handling massive volumes of data. And this is exactly where big data analytics tools come into the picture. They help businesses to identify trends, point out patterns and derive many valuable insights that can be used by decision-makers to make informed business decisions.
While the concept of big data isn’t new, most businesses have recently realized that if they can capture all the data which streams into their operations, analytics can be applied and significant value can be derived from that. Now, the massive amounts of data only become useful when big data analytics is performed to identify patterns and insights that would be left undiscovered otherwise. As a result, businesses are increasingly looking for professionals who’re familiar with various big data analytics tools to get help in attaining their goals. Here’s an overview of some popular big data analytics tools.