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Cloud is Changing Big Data's World every day

The average American business has 100,000 gigabytes of data stored locally in the cloud. Big Data has led the market to a period of change that has caused great disruption.

By Raj KosarajuPublished 2 months ago 4 min read
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Photo by Austin Distel on Unsplash

Big data is making progress in all areas of the economy and all walks of life. It is important to know that data is, released and transmitted everyday from cell phones, credit cards, televisions, and computers to city infrastructure and sensor-equipped buildings, trains, buses, airplanes, bridges, and factories. It is reckoned that 43 trillion gigabytes of new data will be created by 2023. That's 300% more than in 2020. The average American business has 100,000 gigabytes of data stored locally in the cloud.

Big Data has led the market to a period of change that has caused great disruption: 64% of companies believe that Big Data is changing traditional business boundaries 58% expect more competition from the start of data causing 24% of companies to report that chaos and new competitors are entering their industry.

Let's analyze how big data is changing people's world every day:

1) The use of big data is huge and diverse. Big Data promises to solve almost any problem by reducing the number. Get Siri, the app for talking and answering questions on the iPhone. Apple bought Siri in 2010 and continues to provide it with a lot of data. Now, with people asking millions of questions, Siri is a highly trained personal assistant that provides reminders, weather reports, restaurant recommendations, and answers to a universe of questions.

2) The transfer of data is fast and global in the last two years - one zettabyte - has brought down the current record for human civilization. But perhaps the thing that surprises us the most is how different the uses of big data are and how it changes people every day in the world. Many people see big data from the Internet economy because Google and Facebook have a lot of data. But that's not the point: Big Data is everywhere. Big data improves economic performance, but that's only a small part of the story. It improves health care, promotes better education, and helps anticipate social change, from the spread of the city to the spread of the flu. Big data is advancing in all areas of the economy and all areas of life. Big data changes are more powerful than previously used analytics.

3) Big data provides better predictions. Consider the new potential of big data to reduce the amount of research, analyze quickly and draw conclusions. "Big Data Prediction": The Mathematics of Using Big Data to Explain Probability. Because Big Data allows us to analyze other data, we are higher than expected and we can no longer correct the cause. In marketing, this includes trusting the use of big data "referral machines" (such as companies such as Netflix and Amazon) to create purchase plans based on the customer's initial preferences, as opposed to millions of people. again. Target uses a popular algorithm when women are pregnant by looking for items that have been purchased (such as perfume) and offering these valuable customers savings and special coupons. Credit card companies have identified unique associations with data security threats to determine what the risks are. For example, those who buy anti-abrasive materials for furniture can pay.

4) The competitive advantage it brings through diversity. Big Data is one of the technologies that benefit from its many features. Although companies always associate big data with the amount of data they receive, the true value of companies is to better recognize the collection of data and the competitive advantage it brings. There are various applications in the public sector: assigning the police by reporting where and when a crime may occur, looking for a connection between air pollution and health, or using genomics research to disperse crops like rice to cool the water. resilience. Among other special research, for example, the creation of tools for the analysis of large datasets in life sciences has allowed Pardis Sabeti, associate professor of organic and evolution, to study billions of soil pairs. and the human genome and the identification of genes that evolved rapidly during human evolution. Now we can identify traits such as the ability to digest milk or resistance to diseases such as malaria.

5) Use data-driven strategies to generate results. It is very true. Changes in technology and consumer behavior make it necessary to rethink planning strategies today. Especially now, for the first time in history, consumers have better technology than the companies that serve them. Many startups today were born in the world of data, so they are forced to think about how to use data. Some companies are creating business models that make data completely.

Using Big Data can be valuable for competitiveness and growth. Many organizations use data-driven strategies to deliver, compete, and profit from broader, deeper, and more real-time insights. This can make decisions faster and help the company to work more efficiently and effectively.

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About the Creator

Raj Kosaraju

Raj specializes in Cloud Computing, AI , ML, Business Intelligence, IoT, Big Data, and Product Management.

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