What is Big Data & why is Big Data important in today’s era

What is Big Data & why is Big Data important in today’s era
Name: 李昀真
Student ID: D0740725
link:https://medium.com/@syedjunaid.h47/what-is-big-data-why-is-big-data-important-in-todays-era-8dbc9314fb0a

What is Big Data?

 Big Data is a phrase that describes the numerous amount of data, can be structured and unstructured, which impacts a business every day. The amount of the data is not the most significant,  what is really matters is what organizations do with the data. Big data can also be analyzed to gain insights that help make better decisions and strategic business initiatives.

 The foundation of Big Data the “V’s”

 Volume: Volume is the huge amount of data. According to sources each day trillions gigabytes of new 
data is being created.

 Velocity: Velocity refers to the speed of data and processing.

 Variety: Variety includes different types of data, structured, and unstructured.

 The importance of Big Data
Big data analysis is  a revolution in the field of information technology. The use of the Data analytics by the business is increasing every year. Big Data involves the use of analytics techniques such as machine learning, data mining, natural language processing, and statistics. With Big Data, we can perform multiple operations on a single platform. Big data analytics can help organizations to work with their data efficiently and use that data find out new opportunities,different techniques can also be applied to predict from data. Multiple business strategies can be used for future success of the company and leads to smarter business moves, more efficient operations and higher profits.

Conclusion

The importance of big data analytics leads to fierce competition and increased demand for big data professionals.There are huge requirements of big data analytics in different fields and industries,so it has become essential for professionals to keep themselves aware of these techniques. In the meantime, the companies can gain a lot by using these analytics tools correctly.  

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