In order to understand Big data, we need to understand the origin- data. We have traditionally been able to create solutions to work on the data received from various scientific researches, for finding answers to the questions about the universe, the planet, the evolution of the human being, how we affect our natural surroundings with our activities, etc.

big data analysis

In order to understand Big data, we need to understand the origin- data. We have traditionally been able to create solutions to work on the data received from various scientific researches, for finding answers to the questions about the universe, the planet, the evolution of the human being, how we affect our natural surroundings with our activities, etc.

The Data of Origins:


Historic data has given scientists and archaeologists valuable insights about our humble beginnings. We have discovered the unknown and found out the missing links. Although the findings gave us answers but they were incomplete.

The University of San Diego in California has been using LiDAR technology to study the ruins of the Mayan civilization near the Guantanamo islands. These islands have acres of dense forests, and hence traditional mapping technologies have only given the archaeologists, an incomplete picture of the lost civilization. With LiDAR, the system analyses the whole area by virtually removing the forest cover, which unearthed some unexplored tombs and caves in the area. This is where Big data analysis comes into the picture. Large amounts of territorial scan data are analyzed for accurate mapping of the underlying hidden terrain. Similarly, Big data is now being used by paleontologists to study fossils of extinct animals in hopes of finding reasons for their extinction.

Get Humongous and Stay Unique:


Getting lean seems to be the mantra of every other scientific entity of today. There is a study on lean manufacturing and lean engineering for improved efficiency. Contrary to this, Big data is qualified with all the positives by being vast (Terabytes to Exabytes of data for processing), with a variety of data types, at the same time maintaining velocity. The typical nature of being unstructured poses challenges in storing and analyzing the data.

Hadoop is an open-source software for analyzing and creating structured storage of Big data. This software is probably the single-largest and the most widely accepted Big data analytics method. The larger the data, the better are the chances of finding a more accurate trend of things like buying behavior of today’s users, video-binging psychologic studies, etc.

Resolving the Labyrinth of Veracity of Data:


Big data, with its typical characteristic of being unstructured data, brings in the challenge of having uncertainty resulting from inconsistencies in the data, and ambiguities in approximations. Social media is one such example of having a content which has uncertain outcomes. Streaming data, although qualifies for velocity, but at the same time brings in a sea of irrelevant data, which needs to be filtered out. Professional web analytics tools help you in providing the real-time analysis of terabyte Hadoop stack of big data from your site visits and helps in analyzing them in different categories for accurate results.

In a Sea of Opportunities:


We are living in a digital age of the highest access to the internet accompanied by continuously varying scenarios of latest in-fashion trends, most traveled destinations of the year, etc. Big data analysis gives you the edge over your competition when it comes to pre-emptively understand the pattern of business in the near future.

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Safe Milli

Safe Milli is a graduate of FPI, he studied office technology and management. He is a young enterpreur who loves to share his thoughts on latest technology trends, new business ideas and opportunities, how-tos related topics. You can chat with him on Facebook for enquiry.

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