Big Data Applications in Pop-Culture

Learnbay Data science
3 min readDec 21, 2021

Pop culture encompasses all aspects of popular culture, including movies, music, television, sports, news, fashion, and technology. The buzz about Big Data is palpable throughout the industry. Data has evolved into a vital corporate asset for maintaining a competitive edge in the market and making better company-wide decisions. Big data applications wield the same awe with which our forefathers spoke of the oracles of Greece — mythical entities who foretell the future — or the djinns of Central Asia, mighty creations at your disposal who grant desires.

According to the NewVantage survey, 46.6 per cent of executives believe their company will face severe upheaval in the future decade. Even for individuals with a technical background, the finer points of big data remain a mystery to the majority. As new technologies emerge, practically every company is at risk of being disrupted by a disruptor. Even when working with them, technical concepts like HDFS and MapReduce are intrinsically difficult to grasp.

The larger premise underlying big data, on the other hand, appears to be evident to most people: that there is a vast ocean of data on which we can conduct some type of analysis, which can then be used to draw conclusions about human behaviour. A data-driven workplace is one that continuously uses data to make tactical and strategic decisions. The principle of “more data equals more inference” is well-known. Companies acquire vast amounts of data on a regular basis, yet many fail to interpret and utilise this data.

What is Big Data, exactly?

Big data refers to massive, difficult-to-manage data volumes — both organised and unstructured — that inundate enterprises on a daily basis. Big data is a combination of technologies for storing, analysing, and managing large amounts of data, as well as a macro-tool for seeing patterns in the chaos of this information explosion in order to construct smart solutions. But it’s not simply the type or quantity of data that matters; it’s also what businesses do with it. It is now employed in a wide range of fields, including medical, agriculture, gaming, and environmental protection. Big data may be evaluated for insights that help people make better decisions and feel more confident about making key business decisions.

What Is the Importance of Big Data?

The value of big data isn’t solely determined by the amount of data available. People are generally sold on the utility value of big data for their corporate activities, and big data applications are all around us. Vehicles, wearables, appliances, and other devices create large amounts of data.

· If you say the words “big data” to someone who isn’t familiar with the technical specifics, it’s very likely that the conversation will turn to thoughts of a dystopian future, with humans controlled and shackled by corporate and government machinations, and eventually killer robots.

· A data scientist examines data and looks for patterns. Data engineers create DataOps-focused pipelines.

· People say they feel like data points, with all of their information at the disposal of a few firms, ready to be manipulated and utilised to fill their coffers.

· For data processing and storage, big data initiatives necessitate a lot of resources.

What options do we have?

Big data is a combination of technologies for storing, analysing, and managing large amounts of data, as well as a macro-tool for seeing patterns in the chaos of this information explosion in order to construct smart solutions. Regardless of the global fears about big data, one thing is certain: we have already entered the Age of Big Data.

· It is now employed in a wide range of fields, including medical, agriculture, gaming, and environmental protection.

· It is impossible to avoid; it is already all around us.

· Big data necessitates the use of specialised NoSQL databases that can store data without requiring strict adherence to a particular paradigm.

· It is used by businesses in every facet of their operations.

· Almost every industry has found a way to use big data in some way.

· Data is omnipresent, regardless of how it is labelled.

In the context of this reality, fear fueled by ignorance has no place in the world. To discover patterns and trends, answer questions, acquire insights into customers, and solve complicated problems, big data is employed in practically every business.

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