The human body has a complex anatomy. So many cells, tissues, and organs combined themselves and come into the form of a body, that is exactly how big data is… If you ask what is big data, it is a collection/combination of organized, unorganized, and complex data. When many raw and multi-dimensional data come all together is known as big data. These data can contain different sizes and different sources from bytes to yottabytes.

To utilize big data we have to use Big data analytics which includes the exclusive analytical techniques on the huge data sets that include structured, semi-structured, and unstructured data in the form of Big data. These analytical patterns must be dynamic and these days there are many tools available in the market. As we see in the big data definition, the data sets are different from the traditional and relational databases-also known as RDB, companies are using the different analytical methods on them to utilize it.

If we see some market giants that are using these,  Spotify which is an on-demand music-providing platform is using Big Data Analytics. It collects data from all its registered users all over the planet. After that, it uses those analyzed data to offer informed music recommendations and suggestions, and ideas to each individual client. The amazon Prime also works in this method. It provides the videos, music, and books in an all in one is also big on using big data.

Remember in the spiderman movie?  Actor Cliff Robertson says “with great power comes great responsibility”  that applies to big data as well. We can underestimate the big data dangerous. There are high chances of falling these data in the bad crew. Big data scientists are claiming that big data has the potential that its danger can compare with an exclusive fighter jetplane or an exclusive bomb.

As the big data band is popular among people for the single “Dangerous” featuring Joywave; the big data technologies are popular in the giant IT industries. customary data handling programming tools can’t deal with and extricate valuable data from the complex one. For that reason, companies are going to technologies these days. The technologies used for this, fall into four basic categories: Data Storage, Mining, Analytics, and Visualization.

The big data Characteristics are those which justified the 9V’s characteristics. I’d give them the name ‘9Verse of BD’ stands for Velocity, Variety, Volume, Validity, Variability, Volatility, Visualization, Value, and Veracity. In this way, prior to getting on board with the Large Information temporary fad, ensure you are prepared to deal with the entirety of those characteristics. So Before jumping to the operations we have to mind these all 9s.

To remain in cutthroat competition and create more income, organizations should have the option to utilize the information their clients give. The central issue here? They need to work effectively with the data that is now set up. By doing the appropriate operation on the data, companies can get desirable results that are beneficial for the organization and the client both.

Big data is often characterized by the three V's:

1. the large volume of data in many environments.

2. the wide variety of data types frequently stored in big data systems.

3. the velocity at which much of the data is generated, collected and processed.

Volume

Organizations collect data from a variety of sources, including transactions, smart (IoT) devices, industrial equipment, videos, images, audio, social media and more. In the past, storing all that data would have been too costly – but cheaper storage using data lakes, Hadoop and the cloud have eased the burden.

Velocity

With the growth in the Internet of Things, data streams into businesses at an unprecedented speed and must be handled in a timely manner. RFID tags, sensors and smart meters are driving the need to deal with these torrents of data in near-real time.

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Variety

Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions.

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Why is big data important?

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Companies use big data in their systems to improve operations, provide better customer service, create personalized marketing campaigns and take other actions that, ultimately, can increase revenue and profits. Businesses that use it effectively hold a potential competitive advantage over those that don't because they're able to make faster and more informed business decisions.

For example, big data provides valuable insights into customers that companies can use to refine their marketing, advertising and promotions in order to increase customer engagement and conversion rates. Both historical and real-time data can be analyzed to assess the evolving preferences of consumers or corporate buyers, enabling businesses to become more responsive to customer wants and needs.

Here are some more examples of how big data is used by organizations:

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1. In the energy industry, big data helps oil and gas companies identify potential drilling locations and monitor pipeline operations; likewise, utilities use it to track electrical grids. 2. Financial services firms use big data systems for risk management and real-time analysis of market data.

3. Manufacturers and transportation companies rely on big data to manage their supply chains and optimize delivery routes. 4. Other government uses include emergency response, crime prevention and smart city initiatives.

Thank You

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