Big Data Know-How-how big is big data

Big Data Project Know-How: How big is Big Data?

 

Big Data Project is a term that elaborates the large volume of both structured and unstructured data that overwhelms a business on a day-to-day basis. But it’s not really about the amount of data rather it’s what organizations do with the data that matters. Data can be analyzed for insights that lead to better decisions and strategic business moves.

 

The Growth of Big Data

 

It all began with an explosion in the amount of data we have generated since the dawn of the digital age. This is largely due to the rise of computers and internet technology capable of capturing data from the world we live in. Data in itself isn’t anything new. Dating back even before computers and databases, we had paper transaction records, customer records and archive files – all of which are data. Computers and particularly spreadsheets and databases gave us a way to store and organize data on a large scale in an easily accessible way. Suddenly, information was available simply at the mouse click.

 

Nowadays, almost every action taken by us leaves a digital trail. We generate data whenever we go online, wherever we carry our GPS-equipped smartphones, when we communicate with our friends through social media or chat applications and also when we shop. You could say we leave digital footprints with everything we do that involves a digital action. On top of this, the amount of machine-generated data is rapidly growing too. Data is generated and shared when our “smart” home devices communicate with each other or with their home servers. Industrial machinery in plants and factories around the world are increasingly equipped with sensors that gather and transmit data.

 

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How does Big Data work?

 

Big Data Project works on the principle that the more you know about anything or any situation, the more reliably you can gain new insights and make predictions about what will happen in the future. By comparing more data points, relationships begin to emerge that were previously hidden, and these relationships enable us to learn and make smarter decisions. Most commonly, this is done through an automated process that involves building models, based on the data we can collect, and then running simulations, tweaking the value of data points each time and monitoring how it impacts our results.

 

Modern day’s advanced analytics technology will run millions of these simulations, tweaking all the possible variables until it finds a pattern or an insight that helps solve the problem it is working on. Until relatively recently, data was limited to spreadsheets or databases – and it was all very ordered and neat. Anything that wasn’t easily organized into rows and columns was simply too difficult to work with and was ignored. Now though, advances in storage and analytics mean that we can capture, store and work with many, many different types of data. As a result, “data” can now mean anything from databases to photos, videos, sound recordings, written text and sensor data.

 

 

To make sense of all of this messy data, Big Data project often use cutting-edge analytics involving artificial intelligence and machine learning. By teaching computers to identify what this data represents– through image recognition or natural language processing, they can learn to spot patterns much more quickly and reliably than humans.

 

How is Data being used?

 

This ever-growing stream of sensor information, photographs, text, voice and video data means we can now use data in ways that were not possible even a few years ago. This is revolutionizing the world of business across almost every industry. Companies can now accurately predict what specific segments of customers will want to buy, and when, to an incredibly accurate degree.

 

Even outside of business, Big Data project are already helping to change our world in a number of ways, such as:

 

Improving Healthcare:

 

Data-driven medicine involves analysing vast numbers of medical records and images for patterns that can help spot disease early and develop new medicines.

 

Disaster Prediction and Response:

 

Sensor data can be analysed to predict where earthquakes are likely to strike next, and patterns of human behavior give clues that help organisations give relief to survivors. Big Data Project/technology is also used to monitor and safeguard the flow of refugees away from war zones around the world.

 

Crime Prevention:

 

Police forces are increasingly adopting data-driven strategies based on their own intelligence and public data sets in order to deploy resources more efficiently and act as a deterrent where one is needed.

 

Big Data is changing our world and the way we live at an unprecedented rate read more about it to other article. Day by day the applications are becoming more evident as the world starts reaping benefits of generating huge amounts of data. If big data is capable of all this today, just imagine what it will be capable of tomorrow. The amount of data available to us is only going to increase and analytics technology will advance much further in the future.

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