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Big Data is Better Data…Right?

does big data mean better data

Is big data always better data? In other words, is it always helpful to have more data? Not necessarily — and here’s why.  From the time we first got excited about big data, we were told that the magic lies in the ability to find meaningful insights from large data sets, or data so voluminous…Read More

4 Big Data Challenges For Businesses

In recent years, a large number of enterprises planned and implemented projects based on big data analytics with the aim of gaining insights that would further their business objectives. Unfortunately, not all those initiatives succeeded in delivering tangible business value. It’s not surprising that a 2019 survey by NewVantage found that 77% of businesses reported…Read More

7 Emerging Big Data Trends

trends in big data

In an article published in 2005 entitled, “What is Web 2.0?”, Tim O’Reilly first used the term “Big Data” to refer to a large set of data that is almost impossible to manage and process using traditional business intelligence tools. The use of that term peaked between 2013 and 2015, and even found a place…Read More

6 Big Data Software Requirements

big data software requirements

What is big data analytics?  Big data analytics helps users collect and analyze large-sized data sets that have a varied mix of content. This analysis delivers insights into the content through the exploration of data patterns. This data set can include of variety of subjects, from buying preferences of customers to trends setting the markets….Read More

How to Analyze and Process Unstructured Data

how to analyze unstructured data

A vast majority of the data that is generated in the real world is unstructured and is vital to further our understanding of the world.  While the analysis of structured data can help us to know what is happening, it is unstructured data that may reveal why. Because unstructured data doesn’t fit neatly into the…Read More

What is Semi-Structured Data? 5 Key Things to Know

what is semi structured data

In order to make meaning out of data, it has to be effectively organized, stored and analyzed. That’s why it’s important to know the nature of the data — specifically whether it’s structured or unstructured. Structured data fits into predefined fields and can be organized into a spreadsheet or a relational database, while unstructured data…Read More

8 Examples of Unstructured Data

unstructured data examples

The various kinds of data that are generated through a variety of sources at practically every moment are categorized as structured, unstructured or semi-structured. In our previous post, we saw that unstructured data is usually complex and heterogeneous and cannot be mapped to a predefined structure such as a data table or a relational database. …Read More