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Big Data

The Difference Between Data & Big Data

By Jessie L. Morgan → Saturday, March 16, 2019
As I'm sure you are aware, data is gathering and processing information and software in a timely manner. Big data is information that is enormous in volume and very complex. This big data cannot be collected, managed, or processed in a timely manner.

Big Data vs Data

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There is no clear line between what is considered Big Data but it's usually in multiples of petabytes and enormous projects in exabytes.

By rule of thumb, big data is defined by the 3 V's:

- Volume: an extreme level of data
- Variety: the number of different kinds of data
- Velocity: the amount of data that must be processed and analyzed.

Data that is established as big data comes from various places including social media, websites, mobile and desktop apps, scientific data, IoT (other devices in the internet of things, and sensors.

Big data comes from a variety of components that allow a business to put their data to practical use and solve any number of problems. This can include the IT infrastructure for supporting data, applied analytics, the technology for projects, various skills, and the actual use to make big data clear.

All You Need To Know About Big Data Analytics

By Jessie L. Morgan → Tuesday, March 5, 2019
In the modern life, the big data analytics’ significant impacts and benefits are undeniable. If you’ve had no idea on what big data analytics is, please keep reading our article to stay updated.

Introduction

Big data analytics investigates a huge amount of data to reveal the hidden correlations, insights, and patterns.

With the fast-paced development of technology, it’s easy as a piece of cake to analyze your data and find out the answers from it.

Understanding big data analytics thoroughly will be a big advantage as it could help you to develop your business faster than ever.

If you want to grasp more useful information about big data analytics, this article is written for you. So keep calm and read our article.

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#1. Big data analytics’ history and evolution

The concept of big data has been known for years; all organizations understand clearly that if they could collect all the data that pours into their businesses, they could analyze the data and get considerable value from it and drive profits. In the 1950s, decades before anyone expresses the term “big data,” enterprises were making use of basic analytics to discover trends and insights.

Big Data Analytics
Big Data Analytics

The new advantages that big data brings to the table are speed and effectiveness. While in the past, a business gathered, analyzed and gave out information that could be beneficial and used for future decisions, nowadays, business could pinpoint insights for prompt decisions. The strong capability to work faster gives companies a severe competition that they didn’t have before.