27 January 2020

Big, Bigger, Better: What is Big Data and how it works?

What is Big Data?

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A large and complex amount of data is collected by businesses these days. The data collected is so expansive that traditional data processing software cannot manage them. However, these enormous volumes of data can be utilized to address business problems or issues that businesses couldn’t even tackle before. A large part of values that companies offers, comes for the data they collect which constantly helps them to analyze and produce and develop new products.



How Big Data works?


Big data gives insights and opens new and wider opportunities for businesses around the globe and to work on their business models. There are 3 key actions involved in its working.


1.     Integrate

Big Data collects data from numerous diversified sources. Traditional data collection techniques such as ETL (extract, transform and load) generally aren’t up-to-date. New strategies and techniques are required to analyze big data sets at terabyte or petabyte scales.

2.     Manage

Big data requires a huge amount of storage due to its complex data type. Businesses are increasingly reliant on cloud-based storage instead of in-house, on-premise local storage hardware. Many people chose their data storage according to where their data is currently residing. Cloud-based storage solution is gaining popularity day-by-day because the data stored is secured, safe and easy to access.

3.     Analyze

once you’ve managed your large data sets, now it’s time to analyze and act on it. Explore what big data has to offer and what can it offer, which will further help build data models that can be further used in machine learning and artificial intelligence. The point is to churn out as much information as you can from the data collected which will further help in bringing up futuristic discoveries.



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In the end, BIG DATA has the potential to transform the way business and IT industries are currently working. In the future, we'll see rapid, widespread implementation of big data analytics across all the organizations and firms that are currently operating in this whole tech universe.

6 comments:


  1. Very nice post. Especially nowadays, big data as a huge scope, it has challenges like capturing data, data storage, data analysis,querying, information privacy etc.

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  2. A very well written piece. Thank you for that.

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